Where do OPA, Oso, or Cerbos fit when governing AI agents?

OPA, Oso, Cerbos, and similar tools can fit as policy decision or authorization components in an AI agent governance architecture. They help express and evaluate rules, but they still need reliable identity context, enforcement points, audit logs, and integration with the agent runtime. A policy engine alone does not define the full workflow, preserve execution state, or prove how an agent action occurred. Teams should evaluate where policies are authored, where they are enforced, and how decisions are logged. Diagrid Catalyst addresses the platform side: identity, workflow execution, access policy, and observability around agents.