Pipelock: Open-Source AI Agent Firewall for Enhanced Security

Pipelock is an open-source AI agent firewall designed to enhance security for AI agents by providing egress control, Data Loss Prevention (DLP), Server-Side Request Forgery (SSRF) protection, and prompt injection defense. It acts as an egress proxy for various AI agent traffic, offering verifiable proof of agent actions.

RDR87Confidence 90%AI AgentsSecurityOpen SourceFirewallDLPSSRFPrompt InjectionGo

Why it matters

As AI agents gain more capabilities and access to sensitive environments, securing their operations becomes critical. Pipelock addresses key security vulnerabilities like data exfiltration, unauthorized network access, and prompt manipulation, offering a robust, independently verifiable solution for agent security. This is crucial for developers building and deploying AI agents in production environments where trust and control are paramount.

Pipelock is an open-source AI agent firewall developed by luckyPipewrench, written in Go. It focuses on providing comprehensive security for AI agents, particularly in scenarios where agents have access to sensitive information or system resources. The project's core functionalities include agent egress control, preventing unauthorized outbound connections; Data Loss Prevention (DLP) to safeguard sensitive data; protection against Server-Side Request Forgery (SSRF) attacks; and defense mechanisms against prompt injection.

A key feature of Pipelock is its ability to provide mediator-signed, independently verifiable proof of an agent's actions. This means that evidence of an agent's activity is attested to by an external mediator, outside the agent's process and credentials, enhancing the trustworthiness of audit trails. Pipelock functions as an egress proxy, scanning bidirectional HTTP, WebSocket, and MCP (Machine Comprehension Protocol) traffic. It incorporates 48 credential patterns and 29 injection patterns with 6 pass normalization to detect and mitigate threats.

Pipelock supports integration with various AI development environments and tools, including Claude Code, OpenAI Codex, Cline, OpenCode, Zed, Cursor, VS Code, JetBrains, OpenAI Agents SDK, Google ADK, AutoGen, CrewAI, and LangGraph. The project recently released version 2.5.0, indicating active development and maintenance.