Keeper Security has enhanced its Keeper Endpoint Privilege Manager with new agentic AI governance capabilities, extending identity security and privileged access controls to AI agents operating across enterprise endpoints. The update establishes Keeper as a unified governance layer for both human and non-human identities by enforcing security policies at the operating system level, rather than limiting oversight to the Model Context Protocol (MCP) layer. This enables organizations to monitor and control every AI agent action-including file access, shell commands, privilege elevation, child process creation, and local tool usage-regardless of whether the agent operates through MCP, direct APIs, or other execution paths. The launch addresses growing enterprise concerns over AI governance as organizations rapidly adopt autonomous AI agents while facing increasing regulatory and cybersecurity risks.
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Keeper Endpoint Privilege Manager identifies both known AI agents, such as GitHub Copilot, Cursor, Claude Code, and Amazon Q, and previously unknown agents using a proprietary AI detection algorithm and configurable risk scoring. “AI agents are not assistants; they are principals,” said Darren Guccione, CEO and Co-founder of Keeper Security. “Every agent running on an endpoint has an identity, requests access and takes actions on behalf of your organization. If you are not governing them with the same rigor you apply to your human workforce, you have blind spots that adversaries will find before you do. Keeper closes that gap today.” “AI agents operate with an alarming level of autonomy, creating an urgent security gap that organizations are scrambling to close,” said Craig Lurey, CTO and Co-founder of Keeper Security. “This update stops the emerging threat of autonomous AI in its tracks, allowing enterprises to adopt cutting-edge AI agents without opening the floodgates to catastrophic risk.”