How must organizations architect security environments to protect against malfunctioning autonomous AI agents?

You cannot rely solely on probabilistic model alignment to guarantee security. We must engineer Zero-Trust runtime containment wrappers where autonomous agents operate within strict boundary controls, privilege limitations, and real-time monitoring sandboxes. If an agent hallucinates, loops destructively, or encounters adversarial prompt injection, systemic guardrails isolate the failure before it touches production databases.