Secure Collaboration Access Audit Log

This dataset provides a comprehensive log of user access events within enterprise collaboration tools, capturing user identity, resource details, policy compliance, and anomaly detection signals. It is optimized for security teams to identify risk patterns, investigate incidents, and ensure regulatory compliance in remote and hybrid work environments.

  • last updated 23 Dec 2025
  • by GoMask
The brief that made it

Rapid investigation of suspicious or anomalous user activity

Sample rows

preview · 8 of 85 rows · all 22 columns
event_idstringcollaboration_toolstringrisk_scorefloatpolicy_compliancebooleanpolicy_idstringevent_timestampdatetimeuser_idstringuser_emailstringuser_rolestringdepartmentstringip_addressstringdevice_typestringlocation_citystringlocation_countrystringresource_typestringresource_idstringresource_namestringaccess_actionstringpolicy_namestringanomaly_detectedbooleananomaly_typestringevent_descriptionstring
EVT10001Slack0.15truePOL0012024-05-01T08:15:42ZU001alice.smith@acme.comadminIT Security192.168.1.101desktopNew YorkUSchannelCH1001security-updateseditData Access PolicyfalseblankAdmin edited channel settings.
EVT10002Teams0.06truePOL0022024-05-01T09:03:11ZU002bob.jones@acme.commemberFinance10.0.0.12desktopChicagoUSfileF1002Q2-Report.xlsxviewConfidential Files PolicyfalseblankUser viewed confidential report.
EVT10003Zoom0.04blankblank2024-05-01T09:14:25ZU003carol.lee@acme.commemberMarketing172.16.5.44mobileSan FranciscoUSmeetingM1003Campaign KickoffloginblankfalseblankUser logged in for scheduled meeting.
EVT10004Teams0.12truePOL0032024-05-01T10:02:37ZU004daniel.cho@acme.comguestExternal203.0.113.5tabletTorontoCAchannelCH1004Guest AnnouncementsviewGuest Access PolicyfalseblankGuest user accessed public channel.
EVT10005Slack0.18truePOL0042024-05-01T10:49:08ZU005eva.martin@acme.comexternalPartner Org185.60.14.22desktopLondonUKmessageMSG1005Onboarding MessageshareMessage Sharing PolicyfalseblankExternal user shared onboarding message.
EVT10006Teams0.82falsePOL0022024-05-01T11:15:14ZU006frank.moore@acme.commemberOperations10.1.2.13tabletDallasUSfileF1006OpsDoc.pdfdownloadConfidential Files Policytruemultiple failed loginsUser downloaded file after multiple failed login attempts.
EVT10007Zoom0.03blankblank2024-05-01T11:22:03ZU002bob.jones@acme.commemberFinance10.0.0.12desktopChicagoUSmeetingM1007Budget ReviewlogoutblankfalseblankUser logged out after meeting.
EVT10008Slack0.11truePOL0052024-05-01T11:33:51ZU007grace.liu@acme.comadminHR192.168.1.103desktopSeattleUSfileF1008HR_Policy.pdfeditHR File PolicyfalseblankAdmin edited HR policy file.

What the 85 rows show

from the 85-row sample
  • 88%policy_compliance = true
  • 0.12median risk_score
  • 4device types
  • 4resource types
  • 5user roles
  • 7access actions
collaboration_tool85 rows by value
0204037Teams44%31Slack36%17Zoom20%
risk_score85 rows, in bands of 0.1
02550314420000134policy_compliance below 0.700.50.71risk_score →

Every row with risk_score under 0.7 has policy_compliance = true. None above it.

policy_id50 rows with a value · 35 left blank
  1. p-3098
  2. p-2047
  3. POL0016
  4. POL0075
  5. p-1015
  6. POL0064
  7. POL0084
  8. POL0023
  9. POL0033
  10. POL0053
22 columns by typefrom the column list below
  • string 18
  • float 1
  • datetime 1
  • boolean 2

Columns

22 columns in four groups
blueprint · 22 columns
columntypedescriptionexample
Text 18 columns
event_idstringUnique identifier for each access eventuniqueEVT10001
user_idstringUnique identifier for the user involved in the eventU001
user_emailstringEmail address of the useralice.smith@acme.com
user_rolestringRole of the user (e.g., admin, member, guest)admin · member · guest · external · other · optionaladmin
departmentstringDepartment or business unit of the useroptionalIT Security
ip_addressstringIP address from which the access event originatedoptional192.168.1.101
device_typestringType of device used for access (e.g., desktop, mobile, tablet, unknown)desktop · mobile · tablet · unknown · optionaldesktop
location_citystringCity where the access event originated (if available)optionalNew York
location_countrystringCountry where the access event originated (if available)optionalUS
collaboration_toolstringName of the enterprise collaboration tool (e.g., Slack, Teams, Zoom)3 toolsSlack
resource_typestringType of resource accessed (e.g., file, channel, meeting, message)4 typeschannel
resource_idstringUnique identifier of the accessed resourceoptionalCH1001
resource_namestringHuman-readable name of the accessed resourceoptionalsecurity-updates
access_actionstringType of action performed (e.g., view, edit, download, share, delete, login)8 valuesedit
policy_idstringIdentifier of the security or compliance policy relevant to this event11 policies · optionalPOL001
policy_namestringHuman-readable name of the policy11 names · optionalData Access Policy
anomaly_typestringType of anomaly detected (e.g., unusual location, multiple failed logins, data exfiltration)3 types · optionalmultiple failed logins
event_descriptionstringDetailed description of the event for audit and investigation purposesoptionalGuest joined meeting.
Numbers 1 column
risk_scorefloatNumerical risk score assigned to the event (0-1, with 1 being highest risk)0 to 1 · optional0.15
Dates and times 1 column
event_timestampdatetimeDate and time when the access event occurred2024-05-01T08:15:42Z
True or false 2 columns
policy_compliancebooleanWhether the event was compliant with the relevant policyoptionaltrue
anomaly_detectedbooleanIndicates if the event was flagged as anomalousfalse

Use it for

  • policy complia…88%44 of 50 rowsmean risk score by co…0.18Teams0.19Slack0.17Zoom

    A technology dashboard

    The policy_compliance rate, risk_score by collaboration_tool and a breakdown of policy_id. Excel, Power BI or Tableau.

  • Why do 44 of 50 rows have policy_compliance = true?

    A class exercise

    Hand out the rows and one question. Everyone works from the same 85 rows.

  • A software demo

    Believable events with event_timestamp, user_id and user_email to fill a screen in front of a buyer.

Not quite right?

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This dataset85 rows22 columns
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blueprint · secure-collaboration-access-audit-log

Behind this dataset

Same schema. As many rows as you need.

These 85 rows came out of a blueprint — 22 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Each access event must include a timestamp, user ID, and tool accessed.
  • Flag abnormal access attempts outside standard business hours.
  • Log access type (view, edit, share) and location (IP or region).
  • Mark entries that violate set security policies for review.
  • Include audit trail reference for regulatory compliance checks.
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
secure-collaboration-access-audit-log

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