Pipelock: How to Deploy the Open-Source AI Agent Firewall to Block Prompt Injection
AI agents make HTTP requests. Those requests can carry sensitive data — API keys, session tokens, proprietary prompts, internal file paths. They can also be hijacked: indirect prompt injection is an attack where malicious content in the environment (a webpage, a document, a database record) injects instructions into the agent’s reasoning, causing it to take actions the developer never intended. Pipelock (version 2.3.0, MIT-licensed, from the PipeLab project by Joshua Waldrep) is an open-source firewall specifically designed to sit between your AI agents and the internet, intercepting and sanitizing outbound requests before they leave your infrastructure. ...