![Runtime security for AI agents: risk scoring, policy enforcement, and rollback for production agent pipeline [P]](https://preview.redd.it/jaatbenjg9wg1.jpg?width=140&height=80&auto=webp&s=43ed5a4d6806da42e7feccd461f2fe78add2eae0 "Runtime security for AI agents: risk scoring, policy enforcement, and rollback for production agent pipeline [P]") | As agent deployments move from demos 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. [link] [comments] |
