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What an agent audit should capture
A useful forensic trail records what happened across the agent’s lifecycle—not only its final response. Capture structured events at the points where the agent receives work, makes decisions, calls tools, and produces results.
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- Trigger and identity: the initiating user or event, agent identity, session or trace ID, and relevant timestamps.
- Decision and policy outcome: the decision made and whether a policy or authorization check allowed, denied, or constrained it.
- Tool activity: the tool call, relevant input and output, and execution result.
- Delegation: the relationship between the original run and any delegated agents or tasks, so the trail does not break at a handoff.
Logging only the final answer may omit the steps needed to reconstruct an incident. AWS’s Agentic AI Lens recommends capturing agent decisions and actions in queryable, tamper-evident storage. A Microsoft educational lesson frames the auditor’s practical request as “Show me what your agent did.”
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How to tell whether captured records were changed
Verify signed event records
A signed receipt can be checked with the corresponding public key. Verification establishes that the signed bytes match the signature and supports attribution to the key that signed them. It does not establish that the contents are truthful or complete. For an outside auditor to rely on the result, the expected verification key must be trusted and not simply supplied or replaced by the operator being audited.
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Recompute a hash chain
In a hash chain, each event is linked cryptographically to the preceding record. Recompute the hashes in sequence and compare the resulting chain head with an expected head recorded independently—for example, one witnessed or anchored outside the operator’s control. A changed, removed, reordered, or truncated record can then be detectable.
A chain head kept only by the operator is weaker evidence: after rewriting the records, the operator could calculate a new head. A symmetric key controlled by that same operator also does not provide the same third-party non-repudiation as an asymmetric signature verifiable with a public key.
A practical five-minute verification
- Define the scope. Identify the incident window, agent, session or trace ID, and action to investigate.
- Collect the evidence. Obtain the exported event records, signature or hash-chain metadata, trusted public verification key, and independently recorded chain-head commitment or timestamped digest.
- Check the cryptography. Recompute event hashes in order and compare the calculated head with the independent commitment. For signed receipts, verify the signature over the canonical event bytes with the trusted public key.
- Flag gaps rather than silently accepting them. A mismatch, missing sequence, or absent expected commitment is an integrity concern or evidence gap. Do not treat a newly generated head from the operator as independent confirmation.
- Check capture coverage separately. Compare the records with the tool gateway, identity and authorization service, external systems that receive side effects, and any delegated agents.
- Document the conclusion. Record the time range, artifacts checked, key or commitment used, missing evidence, and limits of what the verification establishes.
What verification proves—and what it cannot
A successful check supports a narrow conclusion: the captured records you verified match the signed or independently committed evidence. It does not establish that the agent’s claims are true, that its policy was appropriate, that an action should have been allowed, or that every relevant action was captured.
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Keep evidence independent, retrievable, and appropriately limited
The agent and its operational credentials should not be able to rewrite the audit evidence or control the keys used to validate it. AWS describes an implementation using a separate-account S3 artifact store, restrictions on writes and overwrites, versioning, and CloudTrail log file validation. Its example uses digest files containing SHA-256 hashes and RSA signatures, with Athena for querying. These are AWS-specific options, not requirements for every audit system.
Agent prompts and tool data can contain personal information, secrets, or regulated data. Apply suitable masking or redaction before long-term storage, and index artifacts so investigators can locate relevant runs without searching a raw archive.
AWS warns that S3 Object Lock compliance mode cannot be reversed during its retention period and may prevent deletion needed for a right-to-be-forgotten request. Its guidance recommends using that mode only for a specific regulatory need and validating retention configuration first. Whether a particular retention policy meets legal obligations depends on the jurisdiction and use case.
How to assess an agent audit design
- Lifecycle coverage: Does it capture triggers, decisions, tool calls, outcomes, and delegation?
- Control: Who can access or alter the records, and who controls the signing keys?
- Independent verification: Can an outside auditor check the expected key and chain head without relying on the operator being audited?
- Visible gaps: Does the system surface missing sequences, truncation, and unavailable payloads?
- Privacy and retention: Are sensitive data minimized, and are retention and deletion controls suitable for the deployment?
- Retrieval: Can investigators query and export the evidence for a specific run promptly?
These checks are more informative than asking only whether a system calls its logs “tamper-proof.” The key questions are what it captures, who controls the evidence, and what an independent verifier can actually confirm.
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