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UBA_Data_Validation_Model_Monitoring_2JKXGR6EV.zpln
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UBA_Data_Validation_Model_Monitoring_2JKXGR6EV.zpln
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{
"paragraphs": [
{
"title": "To Get Started",
"text": "%md # UBA Data Validation and Model Monitoring\n\nThe notebook showcase some useful examples for data validation and model monitoring to help resolve system scaliblity issues at the early stage. \n\nMore examples can be provided based on feedback.\nNote: to secure the customer datasets, the notebook was run on single-node UBA testing VM using synthetic datasets. The installation has been also tested in a multi-node deployment environment.",
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"dateUpdated": "2024-01-26T14:49:32-0800",
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"type": "HTML",
"data": "<div class=\"markdown-body\">\n<h1>UBA Data Validation and Model Monitoring</h1>\n<p>The notebook showcase some useful examples for data validation and model monitoring to help resolve system scaliblity issues at the early stage.</p>\n<p>More examples can be provided based on feedback.<br />\nNote: to secure the customer datasets, the notebook was run on single-node UBA testing VM using synthetic datasets. The installation has been also tested in a multi-node deployment environment.</p>\n\n</div>"
}
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"dateFinished": "2024-01-26T14:49:32-0800",
"status": "FINISHED",
"focus": true,
"$$hashKey": "object:186"
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{
"text": "%md ## Validate the scale from data sources\nThrough the sample notebook, you may track the event processing count, the Maximum, Minimum, and Average EPS values. Currently UBA secures the scale of EPS value under 160K.",
"user": "anonymous",
"dateUpdated": "2024-01-26T11:16:08-0800",
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"data": "<div class=\"markdown-body\">\n<h2>Validate the scale from data sources</h2>\n<p>Through the sample notebook, you may track the event processing count, the Maximum, Minimum, and Average EPS values. Currently UBA secures the scale of EPS value under 160K.</p>\n\n</div>"
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"dateFinished": "2024-01-26T11:16:08-0800",
"status": "FINISHED",
"$$hashKey": "object:187"
},
{
"title": "check the real-time EPS values from data sources",
"text": "\n%sh /opt/caspida/bin/status/eps_ds\n",
"user": "anonymous",
"dateUpdated": "2024-01-26T14:52:09-0800",
"progress": 0,
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"data": "\nInput EPS=0\n"
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"status": "FINISHED",
"$$hashKey": "object:188"
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{
"title": "check the real-time EPS values from ETL",
"text": "%sh /opt/caspida/bin/status/eps_etl\n",
"user": "anonymous",
"dateUpdated": "2024-01-26T14:52:13-0800",
"progress": 0,
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"dateStarted": "2024-01-25T17:22:39-0800",
"dateFinished": "2024-01-25T17:22:40-0800",
"status": "FINISHED",
"$$hashKey": "object:189"
},
{
"title": "check the real-time EPS values from Identity Resolution",
"text": "%sh /opt/caspida/bin/status/eps_ir\n",
"user": "anonymous",
"dateUpdated": "2024-01-26T14:52:16-0800",
"progress": 0,
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"dateCreated": "2024-01-24T14:48:42-0800",
"dateStarted": "2024-01-25T17:22:42-0800",
"dateFinished": "2024-01-25T17:22:43-0800",
"status": "FINISHED",
"$$hashKey": "object:190"
},
{
"title": "retrieve EPS statistics from all data sources",
"text": "%sh psql -d caspidadb -c \"SELECT DISTINCT ON (d.name) d.name, d.type, d.status, d.error, d.format, date_trunc('Seconds',cstats.lastprocessed) as lastprocessed, cstats.epsjson::json->>'EPS' as recent_eps, cstats.epsjson::json->>'Avg EPS' as average_eps, cstats.epsjson::json->>'Max EPS' as max_eps, dstats.countevents, dstats.countfailedevents, dstats.countskippedevents, (100-((dstats.countskippedevents + dstats.countfailedevents)*100)/dstats.countevents) as success_perc, \\\n case \\\n when d.status != 'Processing' then '' \\\n when (100-((dstats.countskippedevents + dstats.countfailedevents)*100)/dstats.countevents)=0 then ' <== utter failure; events not processed; review datasource SPL' \\\n when (100-((dstats.countskippedevents + dstats.countfailedevents)*100)/dstats.countevents)=100 then '(complete success)' \\\n when (100-((dstats.countskippedevents + dstats.countfailedevents)*100)/dstats.countevents)<=40 then ' <== significant failed/skipped events; review datasource SPL' \\\n when (100-((dstats.countskippedevents + dstats.countfailedevents)*100)/dstats.countevents)<=70 then ' <= check failed/skipped events; review datasource SPL' \\\n else '' end as observation \\\n FROM connectorstats as cstats \\\n INNER JOIN datasourcestats as dstats on cstats.id = dstats.id \\\n INNER JOIN datasources as d on cstats.id = d.id WHERE cstats.lastprocessed IS NOT NULL AND dstats.countevents!=0 ORDER BY name, lastmodified DESC; \\\n\t\t\"",
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"dateUpdated": "2024-01-26T14:55:20-0800",
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"data": " name | type | status | error | format | lastprocessed | recent_eps | average_eps | max_eps | countevents | countfailedevents | countskippedevents | success_perc | observation \n-------------------------------------------+------+-----------+-------+---------------------------+---------------------+------------+-------------+---------+-------------+-------------------+--------------------+--------------+-------------\n 0_resolution-demoandbackground.infoblox | File | Completed | | INFOBLOX | 2024-01-12 15:45:59 | 1040 | 1040 | 1040 | 5200 | 0 | 0 | 100 | \n 20noderesolve.infoblox.gz | File | Completed | | INFOBLOX | 2024-01-12 15:51:13 | 6925 | 5209 | 7666 | 744603 | 0 | 0 | 100 | \n demoandbackground.ad_multiline.gz | File | Completed | | AD/MULTILINE | 2024-01-12 15:51:24 | 99 | 99 | 99 | 1492 | 0 | 984 | 35 | \n demoandbackground.ad_snare_flat.gz | File | Completed | | AD/SNARE_FLAT | 2024-01-12 15:51:03 | 701 | 1600 | 2500 | 160523 | 0 | 0 | 100 | \n demoandbackground.box_events.gz | File | Completed | | BOX/EVENTS | 2024-01-12 15:51:16 | 8 | 8 | 8 | 131 | 0 | 0 | 100 | \n demoandbackground.box.gz | File | Completed | | BOX | 2024-01-12 15:51:38 | 8 | 8 | 8 | 84 | 0 | 0 | 100 | \n demoandbackground.brivo.gz | File | Completed | | DYNAMIC/BRIVO_BADGEACCESS | 2024-01-12 15:51:06 | 66 | 66 | 66 | 667 | 0 | 0 | 100 | \n demoandbackground.cef.gz | File | Completed | | CEF | 2024-01-12 15:51:05 | 7 | 7 | 7 | 73 | 0 | 0 | 100 | \n demoandbackground.ciscosa.gz | File | Completed | | CISCOSA | 2024-01-12 15:51:28 | 320 | 320 | 320 | 4810 | 0 | 0 | 100 | \n demoandbackground.o365_sharepoint.gz | File | Completed | | O365/SHAREPOINT | 2024-01-12 15:51:00 | 12 | 12 | 12 | 60 | 0 | 0 | 100 | \n demoandbackground.pan.gz | File | Completed | | PAN | 2024-01-12 15:51:04 | 2963 | 4047 | 8083 | 777602 | 0 | 102031 | 87 | \n demoandbackground.splunk_cs.gz | File | Completed | | DYNAMIC/ESRULES | 2024-01-12 15:51:07 | 1 | 1 | 1 | 10 | 0 | 0 | 100 | \n demoandbackground.symantecdlp_endpoint.gz | File | Completed | | SYMANTECDLP/ENDPOINT | 2024-01-12 15:51:01 | 24 | 24 | 24 | 124 | 0 | 0 | 100 | \n demoandbackground.webgateway.gz | File | Completed | | WEBGATEWAY | 2024-01-12 15:51:34 | 1612 | 1612 | 1612 | 40305 | 0 | 0 | 100 | \n demoandbackground.weblog.gz | File | Completed | | WEBLOG | 2024-01-12 15:51:09 | 3723 | 2824 | 3723 | 297278 | 0 | 0 | 100 | \n(15 rows)\n\n"
}
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"dateStarted": "2024-01-26T09:50:29-0800",
"dateFinished": "2024-01-26T09:50:30-0800",
"status": "FINISHED",
"$$hashKey": "object:191"
},
{
"title": "retrieve ID from specific data source ",
"text": "%sh psql -d caspidadb -c \"select id,name,type,format,status,connectortype from datasources where name='0_resolution-demoandbackground.infoblox';\"\n",
"user": "anonymous",
"dateUpdated": "2024-01-25T17:42:43-0800",
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{
"type": "TEXT",
"data": " id | name | type | format | status | connectortype \n---------------------+-----------------------------------------+------+----------+-----------+---------------\n 6015881326631454175 | 0_resolution-demoandbackground.infoblox | File | INFOBLOX | Completed | Pull\n(1 row)\n\n"
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"status": "FINISHED",
"$$hashKey": "object:192"
},
{
"title": "retrieve EPS statistics from specific data source",
"text": "%sh psql -d caspidadb -c \"select id,instanceid,lastmodified,state,numprocessed,numfailed,eps,epsjson from connectorstats where id='6015881326631454175'\"\n",
"user": "anonymous",
"dateUpdated": "2024-01-25T17:44:44-0800",
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"title": "check statistics of onboarding data",
"text": "%sh impala-shell -d caspida -q 'describe datasourcevalidations;'",
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"data": "Starting Impala Shell without Kerberos authentication\nOpened TCP connection to 6251ec511cee:21000\nConnected to 6251ec511cee:21000\nServer version: impalad version 3.2.0-cdh6.3.2 RELEASE (build 1bb9836227301b839a32c6bc230e35439d5984ac)\nQuery: use `caspida`\nQuery: use `caspida`\nQuery: describe datasourcevalidations\n+----------------------------------+--------+---------+\n| name | type | comment |\n+----------------------------------+--------+---------+\n| eventtime | string | |\n| day | string | |\n| dayofweek | string | |\n| week | string | |\n| weekend | string | |\n| month | string | |\n| holiday | string | |\n| datasourceid | string | |\n| numevents | bigint | |\n| emptyviewcount | bigint | |\n| firsteventtimestamp | bigint | |\n| lasteventtimestamp | bigint | |\n| adviewcount F | bigint | |\n| applicationviewcount | bigint | |\n| authenticationviewcount | bigint | |\n| clouddataviewcount | bigint | |\n| clouddataadminviewcount | bigint | |\n| clouddatacollaborationviewcount | bigint | |\n| clouddatagroupoperationviewcount | bigint | |\n| dataviewcount | bigint | |\n| dhcpviewcount | bigint | |\n| dlpviewcount | bigint | |\n| dnsviewcount | bigint | |\n| emailviewcount | bigint | |\n| endpointviewcount | bigint | |\n| entityassociationviewcount | bigint | |\n| externalalarmviewcount | bigint | |\n| firewallviewcount | bigint | |\n| httpviewcount | bigint | |\n| networkviewcount | bigint | |\n| statisticalviewcount | bigint | |\n| genericviewcount | bigint | |\n| printerviewcount | bigint | |\n| badgeaccessviewcount | bigint | |\n| databaseviewcount | bigint | |\n| tspartition | string | |\n+----------------------------------+--------+---------+\netched 36 row(s) in 0.03s\n"
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"text": "%md ## Validate the scale from user and entity profiles\n\nThe number of users, entities (e.g. devices, applications) and its associated profiles may determine the scale for some models. Validate user and entity profiles are preliminary for reliable detections. ",
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"data": "<div class=\"markdown-body\">\n<h2>Validate the scale from user and entity profiles</h2>\n<p>The number of users, entities (e.g. devices, applications) and its associated profiles may determine the scale for some models. Validate user and entity profiles are preliminary for reliable detections.</p>\n\n</div>"
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{
"title": "count the number of users from HRData (LDAP)",
"text": "%sh psql -d caspidadb -c 'select count(*) from hrdatausers';\n",
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"dateUpdated": "2024-01-26T15:31:27-0800",
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"data": " count \n-------\n 1136\n(1 row)\n\n"
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{
"title": "count the number of actual users with activities from data sources",
"text": "%sh psql -d caspidadb -c 'select count(*) from users';\n",
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"dateUpdated": "2024-01-26T15:31:31-0800",
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"data": " count \n-------\n 130\n(1 row)\n\n"
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{
"title": "check the number of OU group for the enterprise",
"text": "%sh psql -d caspidadb -c \"select count(*), ou from hrdatausers group by ou;\"\n",
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"dateUpdated": "2024-01-26T15:30:32-0800",
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"data": " count | ou \n-------+----------------\n 62 | Helpdesk\n 445 | Engineering\n 56 | IT\n 1 | Executive\n 60 | Marketing\n 30 | Administrators\n 6 | \n 109 | Dev Ops\n 18 | Finance\n 77 | HR\n 217 | Sales\n 55 | Support\n(12 rows)\n\n"
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{
"title": "check the categories of accounts",
"text": "\n%sh psql -d caspidadb -c \"select count(*), hraccounttype from hrdataaccounts group by hraccounttype;\"\n",
"user": "anonymous",
"dateUpdated": "2024-01-26T15:29:44-0800",
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"data": " count | hraccounttype \n-------+---------------\n 1101 | Normal\n 6 | Service\n 29 | Admin\n(3 rows)\n\n"
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{
"text": "%sh psql -d caspidadb -c \"select count(*), type from systems group by type;\"",
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"dateUpdated": "2024-01-26T15:28:38-0800",
"progress": 0,
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"title": "count the number of registered devices by type",
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"data": " count | type \n--------+-----------\n 17 | AD\n 850127 | Client\n 5 | Firewall\n 5 | Printer\n 867342 | Unknown\n 4 | USB\n 1 | VPNServer\n(7 rows)\n\n"
}
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},
{
"title": "count the unresolved devices",
"text": "%sh psql -d caspidadb -c \"select count(*) from usystems where state = 'Unresolved';\" \n",
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"data": " count \n--------\n 862571\n(1 row)\n\n"
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{
"text": "%md ## Identify scalability issues from batch models\nYou may also check in real-time for any recurrent model failures, identify models with the longest durations. Monitor the long-running models if there are noticeable changes in the execution times, and engage with UBA Customer support if they cause system performance to be downgraded. ",
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"data": "<div class=\"markdown-body\">\n<h2>Identify scalability issues from batch models</h2>\n<p>You may also check in real-time for any recurrent model failures, identify models with the longest durations. Monitor the long-running models if there are noticeable changes in the execution times, and engage with UBA Customer support if they cause system performance to be downgraded.</p>\n\n</div>"
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{
"title": "check long-duration models ",
"text": "%sh impala-shell -d caspida -q 'select eventtime,modelname,durationinmilliseconds,successfulexecutions,failedexecutions from offlinemodelstats where failedexecutions=0 order by durationinmilliseconds desc limit 10;'\n",
"user": "anonymous",
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"data": "Starting Impala Shell without Kerberos authentication\nOpened TCP connection to 6251ec511cee:21000\nConnected to 6251ec511cee:21000\nServer version: impalad version 3.2.0-cdh6.3.2 RELEASE (build 1bb9836227301b839a32c6bc230e35439d5984ac)\nQuery: use `caspida`\nQuery: use `caspida`\nQuery: select eventtime,modelname,durationinmilliseconds,successfulexecutions,failedexecutions from offlinemodelstats where failedexecutions=0 order by durationinmilliseconds desc limit 10\nQuery submitted at: 2024-01-26 18:07:32 (Coordinator: http://6251ec511cee:25000)\nQuery progress can be monitored at: http://6251ec511cee:25000/query_plan?query_id=77444a50f226ebc6:008fd0f300000000\n+---------------------+----F-------------------------+---------------etched 10 row(s) in 0.32s\n---------+----------------------+------------------+\n| eventtime | modelname | durationinmilliseconds | successfulexecutions | failedexecutions |\n+---------------------+-----------------------------+------------------------+----------------------+------------------+\n| 2024-01-25 11:32:29 | MalwareThreatDetectionModel | 2060217 | 11 | 0 |\n| 2024-01-23 11:36:43 | MalwareThreatDetectionModel | 2013183 | 10 | 0 |\n| 2024-01-12 16:23:40 | MalwareThreatDetectionModel | 1972913 | 2 | 0 |\n| 2024-01-16 11:18:22 | MalwareThreatDetectionModel | 1967842 | 6 | 0 |\n| 2024-01-21 11:25:45 | MalwareThreatDetectionModel | 1964624 | 8 | 0 |\n| 2024-01-20 11:23:41 | MalwareThreatDetectionModel | 1932858 | 7 | 0 |\n| 2024-01-15 11:18:53 | MalwareThreatDetectionModel | 1820922 | 5 | 0 |\n| 2024-01-13 11:20:21 | MalwareThreatDetectionModel | 1819535 | 3 | 0 |\n| 2024-01-14 11:15:07 | MalwareThreatDetectionModel | 1795104 | 4 | 0 |\n| 2024-01-22 11:21:23 | MalwareThreatDetectionModel | 1769713 | 9 | 0 |\n+---------------------+-----------------------------+------------------------+----------------------+------------------+\n"
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{
"title": "check the most recent execution time for models",
"text": "%sh impala-shell -d caspida --quiet -q \"select modelname, eventtime from (select modelname,eventtime,row_number() over (partition by modelname order by eventtime desc) as index from offlinemodelstats where failurereason = 'n/a') t where index = 1 order by 2 desc;\"\n",
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"data": "+---------------------------------------------+---------------------+\n| modelname | eventtime |\n+---------------------------------------------+---------------------+\n| ThreatComputationModel | 2024-01-26 16:04:51 |\n| DeviceAnomalyRankingModel | 2024-01-26 16:03:03 |\n| UserAnomalyRankingModel | 2024-01-26 16:01:11 |\n| ExcessiveFileSizeChangeModel | 2024-01-26 11:43:48 |\n| MalwareThreatDetectionModel | 2024-01-26 11:14:55 |\n| LateralMovementDetectionModel | 2024-01-26 11:09:20 |\n| ExfiltrationMetricsModel | 2024-01-26 11:08:26 |\n| InsiderRankingModel | 2024-01-26 11:07:22 |\n| ExternalUserRankingModel | 2024-01-26 11:06:21 |\n| BoxPatternModel | 2024-01-26 11:05:09 |\n| BoxNewAccess | 2024-01-26 11:04:23 |\n| SuspiciousEmailDetectionModel | 2024-01-26 11:03:38 |\n| ExternalAlarmAnalysisModel | 2024-01-26 11:02:37 |\n| UnusualVPNDuration | 2024-01-26 11:01:46 |\n| BlacklistEntityModel | 2024-01-26 11:00:55 |\n| RareEventsModel_WindowsAuthentications | 2024-01-26 10:59:08 |\n| FrequentPatternModelOfExternalAlarms | 2024-01-26 10:58:18 |\n| RareEventsModel_WindowsLogins | 2024-01-26 10:56:47 |\n| ScanModel | 2024-01-26 10:55:59 |\n| PrivilegeElevationDetectionModel | 2024-01-26 10:54:56 |\n| UserExpandingAccessModel | 2024-01-26 10:53:45 |\n| RareEventsModel_FileAccess | 2024-01-26 10:52:40 |\n| RareEventsModel_UnusualDBActivity | 2024-01-26 10:51:54 |\n| RareEventsModel_RareEmailDomain | 2024-01-26 10:51:07 |\n| RareEventsModel_UnusualProcessAccess | 2024-01-26 10:50:08 |\n| RareEventsModel_FWScopePortApp | 2024-01-26 10:48:49 |\n| RareEventsModel_ExternalAlarm | 2024-01-26 10:46:41 |\n| RareEventsModel_VPNRareGeo | 2024-01-26 10:45:33 |\n| RareEventsModel_NetworkCommunicationRareGeo | 2024-01-26 10:44:27 |\n| RareEventsModel_BadgeReaderAccess | 2024-01-26 10:43:43 |\n| RareEventsModel_WindowsLogs | 2024-01-26 10:42:33 |\n| RareEventsModel_FWPortApplication | 2024-01-26 10:41:14 |\n| RareEventsModel_HTTPUserAgentString | 2024-01-26 10:40:07 |\n| Outliers_VPNAuthSourceChangepoint | 2024-01-26 10:38:50 |\n| Timeseries_FileEvents | 2024-01-26 10:37:47 |\n| Timeseries_USBFileWritesperUser | 2024-01-26 10:36:47 |\n| Timeseries_USBBytesOutperUser | 2024-01-26 10:35:45 |\n| Timeseries_PrinterBytesOutperUser | 2024-01-26 10:34:55 |\n| Timeseries_DBAdminActionsPerUser | 2024-01-26 10:34:04 |\n| Timeseries_DBHelpActionsPerUser | 2024-01-26 10:33:16 |\n| Timeseries_DBGrantsPerUser | 2024-01-26 10:32:26 |\n| Timeseries_DBRecordsModifiedPerUser | 2024-01-26 10:31:38 |\n| Timeseries_DBRecordsDeletedPerUser | 2024-01-26 10:30:49 |\n| Timeseries_DBRecordsReadPerUser | 2024-01-26 10:29:57 |\n| Timeseries_BoxDownloads | 2024-01-26 10:28:10 |\n| Timeseries_BadgeAccesses | 2024-01-26 10:27:21 |\n| Timeseries_DownloadsFromInternalServers | 2024-01-26 10:26:16 |\n| Timeseries_MultipleExternalAlarms | 2024-01-26 10:25:14 |\n| Timeseries_BoxEvents | 2024-01-26 10:24:01 |\n| Timeseries_BoxLoginFailures | 2024-01-26 10:22:56 |\n| Timeseries_BoxLogins | 2024-01-26 10:21:53 |\n| Timeseries_AuthenticationCount | 2024-01-26 10:20:48 |\n| Timeseries_LoginCountFailures | 2024-01-26 10:19:33 |\n| Timeseries_VPNLoginCount | 2024-01-26 10:18:27 |\n| Timeseries_LoginCount | 2024-01-26 10:17:24 |\n| Timeseries_VPNTransferPerUser | 2024-01-26 10:16:26 |\n| Timeseries_BytesOutTransferPerDevice | 2024-01-26 10:15:36 |\n| Timeseries_BytesOutTransferPerUser | 2024-01-26 10:14:46 |\n| Timeseries_BytesOutPerDevice | 2024-01-26 10:13:44 |\n| Timeseries_BytesOutPerUser | 2024-01-26 10:12:40 |\n| UserExfiltrationModel | 2024-01-26 10:11:53 |\n| DeviceExfiltrationModel | 2024-01-26 10:11:05 |\n| FilerModel | 2024-01-26 10:10:02 |\n| HRPeerGrouping | 2024-01-26 10:07:40 |\n| DeviceGroupingModel | 2024-01-26 10:06:44 |\n| PeerGrouping | 2024-01-26 10:05:20 |\n| SuspiciousAccountLockoutModel | 2024-01-26 10:04:30 |\n| UnusualAccessTimeModel | 2024-01-26 10:03:43 |\n| PowershellDetectionOfflineModel | 2024-01-26 10:02:50 |\n| AdPstCorrelationModel | 2024-01-26 10:01:52 |\n| BeaconAssessmentModel | 2024-01-26 10:00:51 |\n| O365FileAccessPatternModel | 2024-01-26 09:50:41 |\n| Abnormal_VPN_Session_Model | 2024-01-26 09:32:16 |\n| Changepoint_Model_of_VPN_Location | 2024-01-26 09:30:45 |\n| DeterministicProfilingModel | 2024-01-26 08:08:08 |\n| ExternalDestinationPopularity | 2024-01-26 08:01:14 |\n| ShortTermLearningProfilingModel | 2024-01-25 08:09:09 |\n| LongTermLearningProfilingModel | 2024-01-20 08:10:06 |\n| MidTermLearningProfilingModel | 2024-01-12 16:15:37 |\n+---------------------------------------------+---------------------+\n"
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"text": "%md # Check threats and anomalies from history\n\nSome issues caused performance downgrades but not related to scalability. For example, customers neglected to clear historical anomalies from Postgres databases, resulting in insufficient space and model failures. ",
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"text": "%sh psql -d caspidadb -c \"select eventtime,endtime, anomalytype,anomalycategory, scoredby, entitytypes from anomalies limit 25;\"\n",
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"data": " eventtime | endtime | anomalytype | anomalycategory | scoredby | entitytypes \n---------------------+---------------------+-----------------------------------+----------------------------------------------------------------------------+---------------------+---------------------------\n 2023-09-11 00:00:00 | 2023-09-12 00:00:00 | OutOfProfileUSBActivity | {Exfiltration,Local,EndPoint,Behavior,RemovableStorage} | AnomalyScoringRules | {User,Device}\n 2023-09-10 00:00:00 | 2023-09-11 00:00:00 | OutOfProfileUSBActivity | {Exfiltration,Local,EndPoint,Behavior,RemovableStorage} | AnomalyScoringRules | {User,Device}\n 2023-09-09 16:45:37 | 2023-09-09 16:55:37 | LandSpeedViolation | {Incoming,Signature,CredentialAccess,RareLocation,Allowed} | AnomalyScoringRules | {User,Device}\n 2023-09-09 16:52:49 | 2023-09-09 17:02:49 | LandSpeedViolation | {Incoming,Signature,CredentialAccess,RareLocation,Allowed} | AnomalyScoringRules | {User,Device}\n 2023-09-10 16:52:49 | 2023-09-10 17:02:49 | LandSpeedViolation | {Incoming,Signature,CredentialAccess,RareLocation,Allowed} | AnomalyScoringRules | {User,Device}\n 2023-09-03 17:00:00 | 2023-09-03 17:10:00 | LandSpeedViolation | {Incoming,Signature,CredentialAccess,RareLocation,Allowed} | AnomalyScoringRules | {User,Device}\n 2023-09-10 16:45:37 | 2023-09-10 16:55:37 | LandSpeedViolation | {Incoming,Signature,CredentialAccess,RareLocation,Allowed} | AnomalyScoringRules | {User,Device}\n 2023-09-11 06:56:21 | 2023-09-11 07:06:21 | MaliciousADActivity | {Signature,Internal,AD,CredentialAccess,PrivilegeEscalation,Allowed} | AnomalyScoringRules | {User,Device}\n 2023-09-11 00:58:22 | 2023-09-11 01:08:22 | WebShellBehavior | {Execution,LossOfControl,Firewall,Signature,Incoming,Allowed} | AnomalyScoringRules | {Device,Url}\n 2023-08-29 06:46:52 | 2023-08-29 06:56:52 | MachineGeneratedBeacon | {Outgoing,Infection,CommandAndControl,Firewall,Behavior} | AnomalyScoringRules | {User,Device,Application}\n 2023-09-02 08:03:00 | 2023-09-02 08:13:00 | MachineGeneratedBeacon | {Outgoing,Infection,CommandAndControl,Firewall,Behavior} | AnomalyScoringRules | {User,Device,Url}\n 2023-09-06 00:00:00 | 2023-09-07 00:00:00 | OutOfProfileLoginError | {LateralMovement,Internal,AD,Behavior,RareDevice,Blocked} | AnomalyScoringRules | {User,Device}\n 2023-08-31 00:00:00 | 2023-09-01 00:00:00 | OutOfProfileLoginError | {LateralMovement,Internal,AD,Behavior,RareDevice,Blocked} | AnomalyScoringRules | {User,Device}\n 2023-08-30 00:00:00 | 2023-08-31 00:00:00 | OutOfProfileLoginError | {LateralMovement,Internal,AD,Behavior,RareDevice,Blocked} | AnomalyScoringRules | {User,Device}\n 2023-09-07 00:00:00 | 2023-09-08 00:00:00 | OutOfProfileLoginError | {LateralMovement,Internal,AD,Behavior,RareDevice,Blocked} | AnomalyScoringRules | {User,Device}\n 2023-09-07 00:00:00 | 2023-09-08 00:00:00 | OutOfProfileLoginError | {LateralMovement,Internal,AD,Behavior,RareDevice,Blocked} | AnomalyScoringRules | {User,Device}\n 2023-09-08 00:00:00 | 2023-09-09 00:00:00 | OutOfProfileLoginError | {LateralMovement,Internal,AD,Behavior,RareDevice,Blocked} | AnomalyScoringRules | {User,Device}\n 2023-09-10 00:00:00 | 2023-09-11 00:00:00 | OutOfProfileLoginError | {LateralMovement,Internal,AD,Behavior,RareDevice,Blocked} | AnomalyScoringRules | {User,Device}\n 2023-09-09 00:00:00 | 2023-09-10 00:00:00 | PowershellDetectionOfflineAnomaly | {Local,Execution,EndPoint,Signature} | AnomalyScoringRules | {Device}\n 2023-09-06 00:00:00 | 2023-09-07 00:00:00 | MultipleLoginError | {Internal,CredentialAccess,AD,Behavior,LateralMovement,Blocked,BruteForce} | AnomalyScoringRules | {User}\n 2023-09-06 00:00:00 | 2023-09-07 00:00:00 | SaaSMultipleError | {Blocked,Internal,Behavior,CloudData,BruteForce} | AnomalyScoringRules | {User}\n 2023-09-08 00:00:00 | 2023-09-09 00:00:00 | MultipleSAASOps | {Network,CloudData,Behavior,Discovery} | AnomalyScoringRules | {User}\n 2023-09-10 00:00:00 | 2023-09-11 00:00:00 | OutOfProfileBrowserInfo | {Outgoing,Behavior,Firewall,RareApplication} | AnomalyScoringRules | {User,Device,Url}\n 2023-09-02 09:32:59 | 2023-09-02 09:42:59 | MachineGeneratedBeacon | {Outgoing,Infection,CommandAndControl,Firewall,Behavior} | AnomalyScoringRules | {User,Device,Application}\n 2023-09-01 10:08:09 | 2023-09-01 10:18:09 | MachineGeneratedBeacon | {Outgoing,Infection,CommandAndControl,Firewall,Behavior} | AnomalyScoringRules | {User,Device,Application}\n(25 rows)\n\n"
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"title": "count the number of anomalies",
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"data": " count | anomalytype \n-------+-----------------------------------\n 5 | LandSpeedViolation\n 30 | MachineGeneratedBeacon\n 1 | MaliciousADActivity\n 4 | MultipleAuthentication\n 1 | MultipleLoginError\n 1 | MultipleSAASOps\n 1 | OutOfProfileADActivity\n 2 | OutOfProfileBrowserInfo\n 4 | OutOfProfileEvent\n 2 | OutOfProfileGEOLocation\n 45 | OutOfProfileLoginError\n 3 | OutOfProfileMachineAccess\n 1 | OutOfProfileNetworkApplication\n 8 | OutOfProfileNetworkZone\n 9 | OutOfProfileProcess\n 2 | OutOfProfileUSBActivity\n 3 | OutOfProfileVPNGEOLocation\n 1 | PowershellDetectionOfflineAnomaly\n 1 | SaaSMultipleError\n 1 | SuspiciousPrivilegeElevation\n 2 | VPNLocationChangepoint\n 1 | WebShellBehavior\n 2 | WindowOfADPathSequenceAnomaly\n(23 rows)\n\n"
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"title": "count the number of threats",
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