YAML schema, examples, and validators for OpenControl format. You can find the formal definitions and learn about how to do validation in the
kwalify/ folder. The examples from the Glorious (Fake) Nation of Freedonia are the complete standalone example targeted at OpenControl beginners, so we recommend looking at those first.
OpenControl refers to both the community, and the schemas defined in this repository. You might be wondering: why use the OpenControl format, rather than write control information in a word processor? In short, the OpenControl format is compliance as code. That means:
- Version-controllable. Since YAML is a textual format (rather than binary), it can be version controlled alongside the code, and updated simultaneously using the same workflow (like pull requests).
- Structured > unstructured. Because OpenControl is a structured format, the information is data, so it can be converted to various formats, and/or pulled into a dashboard.
- Inheritable. Copying-and-pasting control statements between documents means there isn't a canonical source of information, and to keep that information up-to-date across all your System Security Plans (SSPs). OpenControl supports inheritance, meaning the platforms, policies, and General Support Systems (GSSs) that are common across multiple information systems can have their inherited/shared control information in one place, and automatically be pulled into the documentation for all the others.
Full project examples
- cloud.gov (GitBook rendered with Compliance Masonry)
- Environmental Protection Agency (EPA) eManifest/eRegs Notice and Comment
- Docker Enterprise Edition sample
Components represent individual parts of an application or organizational policy that deal with specific security requirements. NIST refers to these as system elements. For example, in the AWS compliance documentation the EC2 component deals with access control and identity management security requirements. In the Cloud Foundry compliance documentation, the UAA the Cloud Controller components deal with those requirements. In a straightforward Django-based application, for example, Django would be the component that deals with access control and identity management. As a developer building an SSP you most likely only deal with the component documentation.
- Amazon Web Services (AWS)
- Cloud Foundry
- Docker Enterprise Edition
- Red Hat
name: Name of the component key: Key of the component (defaults to the filename if not present) documentation_complete: Manual check if the documentation is complete (for gap analysis) schema_version: 3.0.0 references: - name: Name of the reference ie. EC2 website path: Relative path of local file or URL ie. diagrams/diagram-1.png type: Type of reference ie. Image, URL - name: Name of the reference ie. EC2 website path: Relative path of local file or URL ie. diagrams/diagram-1.png type: Type of reference ie. Image, URL verifications: - key: Key of verification name: Name of verification path: Relative path of local file or URL ie. diagrams/diagram-1.png type: Type of reference ie. Image, URL - key: Key of verification name: Name of verification path: Relative path of local file or URL ie. diagrams/diagram-1.png type: Type of reference ie. Image, URL satisfies: - standard_key: Standard Key (NIST-800-53) control_key: Control Key (CM-2) narrative: - key: The optional key that represents a particular section of the control. If the key is not specified, assume the string in the following text represents the entire control text: The narrative text for the particular section / entire control if there is no key specified implementation_statuses: - Used for gap analysis, can only be one of the following: - partial - planned - complete - none control_origins: - shared - inherited - Other text representing the control origination. parameters: - key: "The key for a particular parameter of the specific control" text: "The parameter text for a particular parameter of a specific control" covered_by: - verification_key: The specific verification ID that the reference links, no component or system is needed for internal references - system_key: System name of the verification (can link to other systems / components) component_key: System name of the verification (can link to other systems / components) verification_key: The specific verification ID that the reference links to
kwalify -f kwalify/component/v3.0.0.yaml examples/component_v3.0.0.yaml # OR pykwalify -s kwalify/component/v3.0.0.yaml -d examples/component_v3.0.0.yaml
A standard is a list composed of individual security requirements called controls.
# nist-800-53.yaml standards: C-2: name: User Access description: There is an affordance for managing access by... # PCI.yaml standards: Regulation-6: name: User Access PCI description: There is an affordance for managing access by...
- Freedonia FRIST
- National Institute of Standards and Technology (NIST) 800-53
- Payment Card Industry Data Security Standard (PCI DSS)
Since standards can have thousands of security requirements (aka controls), agencies like the GSA or organizations such as FedRAMP have curated a list of controls they require in order grant an IT system Authority to Operate (ATO). These are also known as "baselines". The GSA, for example, developed a baseline called the Lightweight ATO (LATO), which uses only 24 controls.
# Fisma.yaml standards: NIST-800-53: C-2: C-3: PCI: 6:
opencontrol.yaml file defines an application's documentation configuration settings.
schema_version: "1.0.0" # 1.0.0 is the current opencontrol.yaml schema version name: Project_Name # Name of the project metadata: description: "A description of the system" maintainers: - email@example.com components: # A list of paths to components written in the opencontrol format for more information view: https://github.com/opencontrol/schemas - ./component-1 certifications: # An optional list of certifications for more information visit: https://github.com/opencontrol/schemas - ./cert-1.yaml standards: # An optional list of standards for more information visit: https://github.com/opencontrol/schemas - ./standard-1.yaml dependencies: certifications: # An optional list of certifications stored remotely - url: https://github.com/18F/GSA-Certifications revision: master systems: # An optional list of repos that contain an opencontrol.yaml stored remotely - url: https://github.com/18F/cg-compliance revision: master standards: # An optional list of remote repos containing standards info that contain an opencontrol.yaml - url: https://github.com/opencontrol/NIST-800-53-Standards revision: master
For version control systems, a option key
contextdir can be specified to handle multiple opencontrol content directories in a single repository.
dependencies: - url: https://github.com/organization/repository contextdir: subdirectory_in_repository revision: branch
kwalify -f kwalify/opencontrol/v1.0.0.yaml examples/opencontrol_v1.0.0.yaml # OR pykwalify -s kwalify/opencontrol/v1.0.0.yaml -d examples/opencontrol_v1.0.0.yaml
Relationship to other formats
OSCAL is a schema being developed by the U.S. National Institute of Standards & Technology (NIST). It is meant to express control information in a precise way, and can be thought of as a more detailed version of the OpenControl schemas. Where OSCAL's focus is precision, the OpenControl schema's focus is on usability.
The two communities have a good relationship, and there is a lot of overlap in terms of participants.