BlueBear Insights · AI Audit Trail · 5 min read

AI Agent Audit Trail Retention: What to Store, Redact, and Delete

BlueBear evidence ladder connecting governed agent decisions with execution and outcome records
Operational evidence should connect every agent decision to its authority, execution, and accepted outcome.

Audit retention should preserve accountability without turning prompts and tool payloads into a permanent shadow database. Classify evidence by purpose, sensitivity, jurisdiction, and reconstructive value.

Retention tiers

TierExamplesPolicy
Decision recordIdentity, policy, action, approval, result, outcomeDurable, integrity-protected, exportable
Operational telemetryLatency, tokens, retries, health, errorsShorter operational window with aggregation
Sensitive contentPrompts, retrieved text, tool arguments and resultsOpt-in, minimal, separately encrypted and access-controlled
SecretsBearer tokens, API keys, private credentialsNever intentionally capture; detect and purge

Write the schedule

For every field define purpose, owner, lawful or contractual basis, default duration, deletion trigger, legal-hold behavior, storage region, access roles, and export format. Preserve hashes or immutable references when the source record may remain in its system of record.

Deletion test

Delete one user, workspace, and expired tenant in a non-production environment. Verify primary stores, search indexes, caches, analytics copies, backups, exports, and subprocessors follow the documented policy while required audit evidence remains intelligible and appropriately pseudonymized.

Apply the retention schedule to the BlueBear audit evidence contract.

Primary sources