How Do You Audit an Autonomous AI Agent?
You audit an autonomous agent by reading its trail: an append-only record of what it did, in what order, on whose authority, and with what result. A usable audit trail ties each action to the delegation that permitted it and the policy decision that allowed it, and it is tamper-evident so the history cannot be quietly rewritten. Without that, "the agent did it" is an assertion; with it, it is a record.
The trail is the accountability
Governance decides what an agent may do; the audit trail is how you check what it did. Each entry should link to the authority that permitted the action and the policy verdict that allowed it, so an auditor can reconstruct not just what happened but why it was allowed — and because the log is append-only, a correction is a new entry, never a quiet edit.
Questions
Why must an audit trail be append-only?
So the past cannot be silently changed. Corrections are new, dated entries; the original record and its context remain verifiable.
What links an action to accountability?
The trail ties each action to the delegation chain that authorised it and the policy decision that allowed it, ending at a named human.
Where this lives in the estate
Flashy Ledger — append-only, tamper-evident records
Keep reading
By Michael Gord · published 2026-09-29 · part of the Agentic Encyclopedia. Dates are the day of publication; events are cited at their own dates.