AI Agent Governance at the Runtime Boundary

Much of “AI governance” happens away from the action: model cards, training-time controls, offline evaluations, and post-hoc audit logs. Those artifacts matter for diligence. They do not intercept the moment an agent tries to change institutional state.

The runtime boundary is that moment. A proposed payment, record change, or customer message either proceeds, is withheld, or is routed. OntoGuard occupies that boundary. It interprets the proposed movement, returns a decision, and records whether a protected effect formed.

Customer-production enforcement still requires a connected route: identity, endpoints, and fail-closed behavior. Public proof on this site is controlled and sanitized. It is not a claim that every customer path is already non-bypassable.

Continue with what Decision Authorization is.