Keeper Security Launches AI Agent Integration for Secrets Manager, Pioneering Zero-Trust Workflows in the Age of Automation

As enterprises scramble to incorporate AI into their daily workflows, Keeper Security is stepping in to ensure that the efficiency gains don't come at the cost of compromised secrets.

Today, the cybersecurity firm unveiled its new Model Context Protocol (MCP) AI Agent Integration for Keeper Secrets Manager, a feature designed to securely connect AI agents with sensitive enterprise secrets while upholding Keeper’s hallmark zero-trust, zero-knowledge architecture.

With AI assistants increasingly embedded into development, IT, and security operations, Keeper’s move underscores a growing reality: autonomous agents can be powerful allies—if their access is tightly governed.

“AI agents are becoming powerful tools for operational efficiency, but their access to sensitive data must be governed by strong controls,” said Craig Lurey, CTO and Co-founder of Keeper Security.

Keeper’s MCP acts as a policy-enforced bridge between external AI tools—whether local scripts or cloud-based assistants—and the Keeper Vault. This setup allows organizations to automate tasks like password generation, file management, and infrastructure checks, without sacrificing security posture or compliance guarantees.

Controlled Automation, Not Blind Trust

What sets Keeper’s approach apart is the fusion of AI automation with core zero-trust principles. The integration enforces least-privilege access by default, only granting agents explicit permissions to specific folders. Sensitive operations must pass through human-in-the-loop approvals, adding a real-time layer of oversight.

Other key safeguards include:

• Enterprise-grade logging and auditing, ensuring traceability of all AI interactions.

• Cross-platform compatibility (Linux, macOS, Windows, Docker).

• Admin-controlled deployment, meaning the feature is opt-in and disabled by default.

For companies bound by regulatory standards, Keeper’s compliance credentials—SOC 2 and 3, ISO 27001/27017/27018, FIPS 140-3 validation, and FedRAMP/GovRAMP authorizations—signal an enterprise-ready offering.

“Model Context Protocol provides the secure framework enterprises need to confidently deploy AI agents with their secrets management infrastructure,” said Jeremy London, Director of Engineering, AI and Threat Analytics for Keeper Security.

A New Frontier for Privileged Access Management

This integration is part of the broader KeeperPAM® ecosystem, the company’s platform for privileged access management. With Keeper Secrets Manager at the core, organizations can eliminate hard-coded credentials, automate password rotation, and secure machine-to-machine communication.

In a digital landscape where generative AI agents are beginning to write code, run scripts, and make autonomous decisions, the challenge isn’t just about giving them access—it’s about giving them controlled access.

Keeper’s MCP integration is one of the first commercial examples of this principle in action. And in an era where AI could accidentally—or maliciously—exfiltrate secrets, that's a welcome step toward a safer, smarter enterprise.