Securing the Agentic Control Plane

As AI agents transition from experimental prototypes to production enterprise systems, securing their lifecycle—from creation through runtime operation to decommissioning—becomes a defining challenge for enterprise security. The Agentic Control Plane (ACP) is the governance and management plane through which the Agent Owner orchestrates, monitors, and governs the layers of the AI Agent Reference Architecture across all three Operational Domains. Unlike traditional application control planes that manage deterministic workloads, the ACP must govern autonomous, probabilistic entities that reason, act, delegate, and adapt—entities whose behavior cannot be fully specified at design time and must therefore be continuously governed at runtime. This paper provides the authoritative definition of the Agentic Control Plane, establishes its goals and objectives, enumerates its functions and capabilities, and articulates a forward-looking vision for its evolution. The ACP is not a single product, layer, or service. It is the aggregate of control surfaces distributed across the ten-layer AI Agent Reference Architecture that collectively enable the Agent Owner to maintain authority over agent behavior. Securing the ACP is, in effect, securing the ability to govern agentic AI.