Keeper Security, a leading provider of zero-trust and zero-knowledge Privileged Access Management (PAM) solutions, has introduced its new Model Context Protocol (MCP) AI Agent Integration for Keeper Secrets Manager. This enhancement enables organizations to securely automate workflows with AI agents while maintaining strict security, access controls, and compliance standards.
As companies increasingly adopt AI assistants to boost productivity, ensuring secure access to sensitive data is a top priority. Keeper’s MCP acts as an auditable, secure bridge, allowing authorized third-party AI tools—whether local or cloud-based—to interact with Keeper Secrets Manager without compromising its zero-knowledge architecture.
“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. “With our Model Context Protocol integration, organizations can adopt AI responsibly while ensuring their digital assets remain protected.”
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Key features of the MCP integration include:
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Zero-Trust Design: AI agents are granted explicit access only to specified folders, enforcing least-privilege principles.
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Human-in-the-Loop Oversight: Critical operations require real-time user confirmation, minimizing the risk of unintended actions.
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Streamlined Data Access: Users can automate data retrieval and updates without manual copy-paste steps, improving efficiency and security.
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Enterprise-Grade Logging: All AI interactions are tracked for full auditability and regulatory compliance.
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Cross-Platform Compatibility: The integration works across Linux, macOS, Windows, and Docker environments.
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Admin-Managed Controls: Disabled by default, the integration must be intentionally activated by administrators via the Keeper Admin Console.
With the new MCP feature, AI agents can safely generate passwords, manage secrets, handle file attachments, and run system checks—within a secure, policy-driven environment.
“Model Context Protocol provides the secure framework enterprises need to confidently deploy AI agents within their secrets management infrastructure,” added Jeremy London, Director of Engineering, AI and Threat Analytics at Keeper Security. “We’re enabling organizations to automate critical workflows without sacrificing our trusted zero-trust security model.”