Noma Launches Agent Access Control for Enterprise AI Governance

June 02, 2026
Noma Security has introduced Noma Agent Access Control, a platform designed to help enterprises discover, manage, and enforce access policies for AI agents and Model Context Protocol servers.

Noma Security announced in a press release the launch of Noma Agent Access Control, a system designed to help enterprises discover, govern, and enforce access policies for AI agents and Model Context Protocol (MCP) servers.

The platform automatically builds a full inventory of agents and MCP servers within an organization, defining what each can access and maintaining a current view of the environment. This eliminates manual work and ensures complete visibility for security teams.

Key features include an enterprise agent registry, agent identity management, a flexible governance model, tool-level control, and runtime enforcement. The system provides the first layer of governance by defining boundaries, while Noma's AI Detection and Response platform offers runtime verification to ensure those boundaries hold.

Noma Security describes the new product as part of its broader effort to secure AI systems by detecting behavioral threats and protecting agents across enterprise environments.

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