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AI governance glossary

AI audit trail

An AI audit trail is a reviewable record of AI-related decisions, approvals, denials, costs, and configuration changes.

Why it matters

Reviewable records help teams understand how controls were applied and what decisions followed. Useful evidence depends on the systems and events within scope.

How it works

A governance system records relevant activity and makes it available for review or export. The record should be interpreted alongside its collection scope and retention practices.

How Halo approaches it

Halo records decisions, approvals, denials, costs, and configuration changes. Audit logs and gateway decisions can be exported as CSV or JSON for review.

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