AI agent audit trail
Logs are written for whoever is debugging today. An audit trail is written for whoever asks a question months later, when nobody remembers the run and the log retention window has already closed.
What an agent audit trail must contain
- The instruction that started the execution, recorded at the runtime.
- Ordered steps, each with its own timing, actor and outcome.
- Stable identity: which agent, which workspace, which connector and version.
- Integrity you can re-check later, not a promise that the file was not edited.
- Retention and export under your control, in a format a reviewer can read.
- An honest statement of what was never captured.
Why application logs are not enough
Logs are mutable, unstructured, spread across providers and deleted on a timer. They record what a developer chose to print, not what the agent did. Nothing in a log file shows that it has not been changed since it was written.
How Inficy records it
Supported runtimes are observed as they execute and preserved as canonical NexArt Project Bundles: content-addressed, hash-linked step by step, and verified for integrity before anything is projected into a timeline. Records are isolated per workspace by row-level security and can be exported by workspace owners and admins.
Where certification fits
Certification is optional and applies to one chosen execution. A certified artifact shows that a specific recorded sequence existed in exactly that form at the time of certification and has not been altered since. It does not assert that the agent’s conclusions were correct.
Related reading
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