Practical guide | October 25, 2026
If an AI agent changes a document or sends information to another service, an incident reviewer needs to reconstruct the action. Logging everything indiscriminately can create a second problem: a new store of private content and credentials.
Record the decision boundary
Useful fields include the task identifier, acting identity, tool name, destination, time, permission decision and execution outcome. Where human approval is required, link the action to the approved version. Separate a proposed action from a completed one.
Keep secrets out
Redact authorization headers, tokens and unnecessary personal details. Review nested tool parameters and error messages, which may contain sensitive values even when the main prompt does not. Apply redaction before records reach shared dashboards or third-party monitoring services.
Restrict the log itself
Give reviewers access according to their responsibilities. Decide how long each class of record is needed, how it can be corrected or deleted, and who can export it. Logs deserve access controls and retention rules just as source documents do.
Test reconstruction
Run a harmless workflow that creates and edits a test file. Ask a colleague to establish what changed using only the records. If they cannot distinguish an attempt from success, improve the event structure. Then inspect whether the records contain information the colleague did not need.
Use evidence carefully
A log entry saying that an action was authorized is a system record, not independent proof that every control worked. Compare important actions with the destination's state. Preserve relevant records when investigating an incident, following your organization's procedures.
OWASP advises monitoring agent activity while avoiding plaintext sensitive data in logs. The proposed field list is an original implementation checklist rather than a required universal format.
Primary reference: OWASP AI Agent Security Cheat Sheet.