AI Audit Trail
An AI audit trail records every agent decision and action - providing the accountability and compliance evidence that regulated industries and enterprise governance require.
An AI audit trail is a comprehensive log of every action an AI agent takes - what it decided, why, what data it accessed, and what actions it performed - providing accountability and compliance evidence.
Action Logging
Every agent action is recorded - emails sent, CRM updates, calendar bookings, API calls - with timestamps and context.
Decision Recording
Log why the agent made each decision - which rules triggered, what confidence level, and what data informed the action.
Data Access Tracking
Record which data the agent accessed for each action - CRM records, email content, knowledge base articles.
User Attribution
Track which user or trigger initiated each agent action. Maintain clear accountability chains for audit purposes.
Compliance Reporting
Generate audit reports for regulatory submissions. Show what the agent did, when, and why for any time period.
Tamper-Proof Storage
Audit logs stored in append-only format. Records cannot be modified after creation, ensuring integrity for compliance.
FAQ
How long are audit trails retained?
Default retention is 12 months. Regulated industries may require longer - banking (7 years), healthcare (10 years). Retention periods are configurable.
Can I export audit data?
Yes. Audit trails can be exported in standard formats (JSON, CSV) for integration with your existing compliance and GRC systems.
Does audit logging affect performance?
No. Logging is asynchronous - audit records are written after the action completes, adding no perceptible latency to agent responses.
Full transparency for AI actions
Learn about AI audit trails for compliance.