Trust State Engine, explained for beginners

Trust State Engine remembers how each AI agent has behaved and denies risky actions after a violation, explaining exactly why.

What it is

Should an AI agent that just broke a rule still be allowed to do risky things? Most systems don't remember: permission is permission. The Trust State Engine keeps a running trust level per agent, built only from recorded events, never from the AI's own opinion.

A policy violation lowers the agent's trust. While trust is degraded, high-risk actions are denied. Anyone can ask why, and get an explanation naming the event that changed it. Trust recovers slowly and only from new evidence.

An everyday comparison

A credit score for agents: built from records, and a recent default means no big loan for a while.

How it works, in 4 steps

1. Events are recorded: good behaviour and violations.
2. Each agent's trust level is computed from that evidence.
3. Risky actions are allowed, held or denied depending on trust.
4. The explanation names the events behind the decision.

Try it now

Open the three live demo tools → Every button sends a real request to the live product and shows the real answer.

See it on the homepage: Trust State Engine section →

Who it is for

Companies running agents long-term that want permissions to respond to behaviour.

FIRME AI CORPORATION · CAIN-42 is a Byzantine trust fabric. Numbers marked "our own check" were run by us, not by an independent party. Nothing on these pages is a certification.