Evidence that survives beyond the AI session.

String network linking pins on a dark pinboard, abstract connections

Enterprises are running AI workflows they cannot explain, reproduce, or defend.

Macro view of small pale spheres scattered on a dark surface in dense and sparse bands

What entered the workflow?

Sensitive information moves across AI systems with no intake record and no chain of custody.

Where did it propagate?

Enterprises have no way to trace what moved across agents, plugins, APIs, and downstream systems.

Could it be verified in a legal proceeding?

AI systems produce no reconstructable evidence record and no way to verify it.

Evidence infrastructure for AI systems

Reconstructable
by design

Independently timestamped

Evidence records verified through trusted external timestamp services.

Reproducible findings

Same inputs, same policy version, same findings. Every time.

Cross-system coverage

Processes activity across MCPs, APIs, uploads, plugins,generated filings, review chains, and downstream systems.

Abstract wavy line grid on a light ground, dimensional texture

The AI session disappears.
The consequences usually do not.
As AI becomes embedded across documents, filings, reviews, and internal systems, organizations increasingly need reliable ways to understand what happened inside those interactions after the fact.

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