Runtime security for AI agents: risk scoring, policy enforcement, and rollback for production agent pipeline [P]

As agent deployments move from s to production, the failure modes are becoming real - agents taking unintended actions, leaking PII, running loops that cause damage before anyone notices. We have been researching runtime behavioral monitoring for AI agents and built a system that scores risk across five dimensions in real time: action type, resource sensitivity, blast radius, frequency, and context deviation. Happy to discuss the threat model and scoring approach - curious what failure modes others have encountered deploying agents in production.