How to Run an AI Governance Post-Incident Review

Why AI governance reviews require a different evidence base

A security post-mortem typically centers on network, system, and human-user evidence. An AI governance review requires additional artifacts: agent identity and permission scope, tool-call logs, and policy engine decisions. The failure point is often a permission grant or an unenforced policy rule rather than a network intrusion.

That difference shapes how you staff the review, what you collect first, and how you classify the root cause. Ownership should span both governance or compliance and security or engineering roles. Defined accountability for AI risk extends to formal sign-off on review findings; the review should not sit solely with the security team.

The runtime evidence you need before root cause analysis

Do not start causal analysis until the runtime record is complete enough to reconstruct what the agent was allowed to do, what it attempted, and how policy treated the request. At minimum, assemble the following evidence types before you assign a root cause.

• Agent identity records

  Credentials and permission scope held at the time of the action.

• Tool-call logs

  What functions or systems the agent invoked, and with what parameters.

• Policy decision records

  Whether the request was evaluated, and whether it was allowed or denied.

• Prompt and context history

  The input the agent acted on leading up to the incident.

Together, these records let you distinguish between a missing control, a misconfigured control, and manipulation of the agent’s inputs. Gaps in any one of these streams should be treated as a finding in their own right, because incomplete telemetry blocks a reliable governance review.

A structured review process

Use a short, repeatable sequence so each incident produces comparable outcomes and a clear path to a control change.

1. Freeze and collect runtime evidence

   Capture agent identity, permission scope, tool-call logs, policy decisions, and prompt or context history for the incident window before logs roll off or credentials rotate.

2. Reconstruct the action path

   Map what the agent was asked to do, which tools it called, and how each request was evaluated by policy, so the timeline is complete before you debate cause.

3. Classify the root cause

   Assign the incident to a standard category: overly broad permission grant, unenforced or missing policy rule, or input manipulation such as prompt injection (or a documented combination).

4. Translate the finding into a control change

   Write a specific, version-controlled update to permissions, policy enforcement, or tool input validation, and record it as a governance artifact.

Classifying root causes against a standard taxonomy

Classification should be constrained and consistent. The framework above focuses on three primary failure modes that show up repeatedly in agent incidents:

• Overly broad permission grant: the agent held scope that was technically valid but wider than necessary for the task, enabling harmful or unintended actions.
• Unenforced or missing policy rule: a decision point was never evaluated, evaluated incorrectly, or lacked a rule where one was required.
• Input manipulation: prompt injection or related context tampering steered the agent into actions that existing controls did not stop.

Unexpected behavior without a technical policy violation still warrants documentation. It may indicate a permission grant that is technically valid but broader than necessary (excessive agency), and it should still result in a scoped policy change.

Translating findings into control changes

A review is incomplete until the finding becomes a durable control update. Convert outcomes into concrete changes such as the following:

• Reduce permission scope for the specific agent or agent class, not just the individual credential involved in the incident.
• Add or correct a policy enforcement rule at the point where the review found a decision was missing, incorrect, or never evaluated.
• Version-control the resulting least-privilege policy change so the update is traceable back to the specific incident finding.
• Update tool or plugin input validation where the root cause involved insecure tool integration rather than permission scope.
• Record the review outcome and control change as a governance artifact, not only a security ticket, to support audit and compliance review.

Common questions