Keeper Security Launches Agent Kit to Secure AI-Driven Developer Workflows

New integration enables AI coding agents to securely retrieve secrets and manage infrastructure without exposing credentials in chat history or source control

Keeper Security, the leading zero-trust and zero-knowledge identity security and Privileged Access Management (PAM) platform, announces the launch of its Keeper Agent Kit. This new suite of specialized AI skills integrates Keeper Secrets Manager and Keeper Commander directly with industry-leading AI coding agents, including Claude Code, Cursor, Codex and GitHub Copilot, to safely automate complex security and administrative workflows.

As organizations rapidly embed Agentic AI into their development lifecycles, they face a critical security gap: the exposure of privileged credentials within AI prompt history. Traditionally, for an AI agent to interact with protected infrastructure, developers have had to manually provide API keys or database credentials within the chat interface, inadvertently storing sensitive data in third-party logs and training sets. The Keeper Agent Kit eliminates this risk by enabling AI agents to interact directly with Keeper’s hardened Command Line Interface (CLI) tools, Keeper Commander and Keeper Secrets Manager CLI.

“The Keeper Agent Kit provides a definitive framework for how AI agents interact with sensitive enterprise data,” said Craig Lurey, CTO and Co-founder of Keeper Security. “By equipping these agents with instructions to use our encrypted CLI tools locally, we ensure the agent runs commands within the developer’s own authenticated session. This architecture maintains our zero-knowledge standard while allowing developers to leverage the full speed of AI without leaving the vault door open.”

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The Keeper Agent Kit is optimized for the modern developer workflow, offering:

• Secure Secret Retrieval: Agents use the keeper-secrets skill to inject credentials into local runtimes, ensuring the raw secret never appears in the chat UI.
• Automated Vault Administration: Through the keeper-admin skill, agents manage users, teams and audit resources via Keeper Commander.
• Streamlined Configuration: The keeper-setup skill automates the configuration of Keeper’s security tools, establishing a secure environment for new projects from the first command.

For teams operating in hosted or orchestrated AI environments, Keeper also offers a Model Context Protocol (MCP) server integration (available in Docker and Node configurations), that enables agent platforms to retrieve secrets via a running MCP server process rather than local CLI tools. When an AI agent uses Keeper’s CLI tools, every action taken by the agent is governed by the same rigorous role-based access controls and audit logging as a human user accessing systems through Keeper.

“Security teams should not have to trade velocity for operational safety,” said Jeremy London, Director of Engineering, AI and Threat Analytics for Keeper Security. “With the Agent Kit, we are transforming AI from a conversational assistant into a secure partner that respects the organizational security perimeter. By allowing agents to resolve secrets at runtime without ever seeing the raw credential, we help close one of the most dangerous exposure points in the modern developer stack.”