Governance platform for authoring, reviewing and auditing the policies AI agents run under

TenetX approaches AI governance as a policy lifecycle problem rather than a filtering problem. Most enterprises adopting autonomous agents already have rules about what those agents may and may not do, but the rules live in documents while the behaviour lives in prompts and code, and nothing connects them. The platform's central surface, Policy Studio, is where those policies are written, reviewed and revised as first-class artifacts, in a form the runtime can evaluate against, so the governing text and the enforced behaviour are the same object rather than two versions of an intention.

Against that, the platform records what agents actually do. It captures the decisions autonomous agents make and maintains a full chain of custody for consequential model choices, so a given outcome can be traced back to the policy in force at the time, the inputs it saw, and the decision path it took. Because that record accumulates, the system can detect behavioural drift, where an agent's decisions gradually diverge from the pattern its policy anticipated, which is a failure mode that point-in-time evaluation will not catch. Compliance reporting is generated from the same record, making the audit artifact a by-product of running the agents rather than a separate exercise. The intended users are enterprise security and governance teams.