Guide

AI audit trail: a record regulators can trust

An AI audit trail shows what your AI saw, what it did, which rules applied and who approved it, in a form no one can quietly change.

Updated

Why logs fall short

Logs tell engineers what happened. Regulators and auditors need more: proof that the decision was allowed, grounded and approved, and that the record is complete and unchanged.

What an AI audit trail should record

  1. Inputs. The data, documents and sources the AI used, with versions and times.
  2. Actions. Every tool call and step the agent took.
  3. Rules. Which policies were checked and what each one decided.
  4. People. Who reviewed or approved the decision, and when.
  5. Outcome. The final decision and the reasons given.
  6. Context. Which model, prompt and agent version ran.

Making it tamper-proof

Verus fingerprints each decision with a cryptographic hash, signs it with a key held in secure hardware and time-stamps it. The result is a certificate anyone can check. Change one character and the check fails.

Logs show what happened. A signed record proves it.

A quick self-test

Pick one AI decision from last month and ask:

  • Can we show every source the AI used?
  • Can we show which rules applied?
  • Can we prove the record hasn’t changed?
  • Can an auditor check it without our engineers?

If any answer is no, your audit trail has a gap. We can help close it.

Frequently asked questions

What is an AI audit trail?

An AI audit trail is a complete, time-stamped record of what an AI system saw, did and decided, kept in a way that shows it has not been changed.

Are application logs enough?

Usually not. Logs can be edited, deleted or sampled, and they rarely record which rules applied or who approved a decision.

What makes a record tamper-proof?

Each record is fingerprinted with a cryptographic hash and signed. Changing even one character breaks the fingerprint, so any edit is visible.

How long should AI records be kept?

Follow your existing retention rules for the business process, such as AML or credit record-keeping. Verus lets you set retention per workflow.

Keep reading

AI agent governanceThe six controls banks need.EU AI ActAutomatic logging for high-risk AI.Use casesAML, KYC, complaints, credit and claims.FAQShort answers to common questions.

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