Building a Compliance-Ready AI System with Audit Trails

As organizations deploy AI agents that access internal knowledge, regulators are asking pointed questions: Can you show who accessed what data? Can you prove your AI respects existing access controls? Can you produce an audit trail for a specific time period?

Gateco logs every operation as an audit event with full context. Retrieval events record the requesting principal, connector, policy decision (allowed/denied), which policies matched, metadata resolution source, and timestamp. Policy lifecycle events track who created, modified, activated, or archived each policy.

There are 25 event types grouped into categories: User events (login, logout, settings changes), Connector events (added, updated, tested, removed, sync), Policy events (created, updated, activated, archived, deleted), Retrieval events (allowed, denied with full trace), Data events (metadata bound, documents ingested), Identity Provider events (added, synced), and Pipeline events.

On the Pro plan, you can export audit logs as CSV or JSON with date range and event type filtering. On Enterprise, you can stream audit events to your SIEM platform in real-time for integration with your existing security monitoring.

The key principle is that audit data exists from day one — you don't need to configure logging or enable a feature. Every operation that flows through Gateco is automatically recorded. When an auditor asks "show me all retrieval events for this user in Q1", it's a single API call: client.audit.list(actor="user_123", event_types="retrieval_allowed,retrieval_denied", date_from="2025-01-01", date_to="2025-03-31").