The centralized system of record and control layer used to discover, identify, authorize, monitor, restrict, and revoke AI agents across their complete lifecycle.
An Agent Control Plane serves as the single source of truth for an enterprise's AI workforce. Unlike model guardrails or developer frameworks, it provides an independent management layer that governs permissions, ownership, tool access, delegation rules, and runtime authorization across disparate clouds, SaaS platforms, and internal applications.
A global bank uses an Agent Control Plane to govern 200+ agents built across LangChain, OpenAI Assistants, and AWS Bedrock, ensuring every agent has a named owner, verified risk classification, and instant kill-switch capability.
Without an Agent Control Plane, AI agent adoption leads to fragmented governance, standing credential risk, unowned shadow agents, and untraceable autonomous actions.
EnterpriseACP provides a vendor-neutral control plane that unifies agent discovery, identity passports, tool entitlements, delegation limits, and real-time pre-action authorization.