AI governance · Compliance and audit history
Govern what AI agents access and do
As AI agents access enterprise data and take actions, the organization needs a complete record of what each agent saw, decided, approved, and changed.
The record
Telemetry these decisions draw on
- Agent prompts and requests
- Data accessed
- Tools invoked
- Permissions used
- Evidence considered
- Decisions made
- Actions taken
- Human approvals
- Resulting business impact
The questions
What an agent answers
- Why did the agent make this decision?
- What evidence did it use or ignore?
- Did it access data outside its policy scope?
- Was the action approved?
- Did the action produce the intended result?
- Should the action be reversed or reviewed?
"The procurement agent approved this supplier because it relied on an outdated risk score and did not retrieve the compliance hold added two hours earlier. Suspend the order and reopen supplier review."
Related use cases
Browse the full library →Technology optimization
Remove stale employee and contractor licenses
Software access remains assigned to former employees, inactive contractors, or transferred users after their business need has ended.
Compliance and audit history · Chief Information Officer / Chief Information Security Officer
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Monitor cloud and application drift
Production environments drift from approved security baselines as controls, logging, encryption, network restrictions, and deployment practices change.
Compliance and audit history · Chief Information Security Officer
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Generate audit and compliance evidence automatically
Audit evidence is fragmented across access systems, applications, approvals, security controls, configuration histories, and incident records.
Compliance and audit history · Chief Information Security Officer
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