Interlock: Security Gateway for AI Agents and MCP Servers

Interlock: Runtime Security Gateway for AI Agents and MCP Servers

For developers building with AI agents and MCP servers, securing your applications is paramount. Interlock provides a robust runtime security gateway designed to offer live protection for your AI infrastructure. This tool addresses the critical need for safeguarding your agents and servers against potential threats and vulnerabilities as they operate.

What Interlock Does

Interlock acts as an intermediary, monitoring and controlling the interactions between your AI agents, MCP servers, and external environments. It intercepts requests and responses, applying security policies in real-time to prevent unauthorized access, data breaches, and malicious activities. By integrating Interlock, you establish a secure perimeter around your AI deployments, ensuring operational integrity and data confidentiality.

Key Features

• Runtime Protection: Offers continuous security monitoring and enforcement while your AI agents and MCP servers are active.
• Policy Enforcement: Allows for the definition and application of custom security policies tailored to your specific AI architecture.
• Threat Mitigation: Designed to detect and block common security threats targeting AI systems.
• Integration: Built to seamlessly integrate with existing AI agent frameworks and MCP server setups.
• Open Source: Available on GitHub, fostering transparency and community-driven development.

Who Interlock is For

Interlock is an essential tool for AI developers, security engineers, and system administrators responsible for deploying and managing AI agents and MCP servers. If you are concerned about the security posture of your AI applications, require real-time threat detection, or need to enforce granular access controls, Interlock provides the necessary capabilities. It is particularly relevant for projects handling sensitive data or operating in environments with strict security compliance requirements.