Prove what your AI actually did.Down to a single inference.

Agent monitoring

You cannot govern what you cannot reconstruct

When a multi-step agent produces a bad answer, the failure is rarely in the final message. It is in the retrieval, the tool call, or the reasoning three steps earlier. Logging the response captures the answer and loses the path that produced it.

Health AI governance frameworks have started asking vendors to log tool access, memory, and actions for agentic systems. Veritrace captures the whole trace as it runs, so that question has an answer months later — not just a summary of what the agent said.

Every step, in order

Each step is linked to its parent and stamped with an ordered index, so the path can be replayed exactly as it ran.

Tool calls, not just messages

Retrieval, lookups, and external calls are captured as first-class steps with their name and payload.

Surveillance that follows the trace

A step inherits the surveillance profiles matched by its root, so a rule written once applies down the whole tree.

Chained to the audit record

Root and steps are written in one transaction, with audit entries appended in the same order they executed.