AI agents are the actor your Kubernetes governance didn’t plan for

Executive summary: As organizations deploy increasingly autonomous AI agents in Kubernetes, traditional human-centric governance models struggle to provide adequate visibility, access control, and resource management. The report advocates for adaptive governance that emphasizes continuous monitoring, identity-based security, observability, and automation to enforce policy and enable safe scale of AI without stifling innovation.