Pipelock is an open-source AI agent firewall that sits between AI agents and the network, scanning all traffic through an 11-layer pipeline covering DLP, SSRF, path traversal, domain blocklisting, and more.

How does Pipelock protect AI agents?

It uses capability separation: the agent process holds secrets without network access, while the proxy holds network access without secrets. All traffic crosses a scanning boundary between the two zones.

What protocols does Pipelock support?

Pipelock supports MCP security, agent egress control, DLP, SSRF protection, and prompt injection defense. It works with any agent-to-network protocol.

Is Pipelock free to use?

Yes, Pipelock is released under the Apache 2.0 license and available on GitHub as a single Go binary of roughly 20 megabytes.

How does Pipelock compare to ClawShield?

ClawShield focuses on agent-to-agent communication firewalling with eBPF kernel monitoring. Pipelock focuses on agent-to-network egress control with a proxy-based architecture and 11-layer scanner pipeline.

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Pipelock: Open-Source AI Agent Firewall — 11-Layer Scanner Pipeline, MCP Security, Apache 2.0

Open-source security harness by Joshua Waldrep (PipeLab) that inserts an enforcement layer between AI agents and the network. Single Go binary (~20MB), 22 dependencies, Apache 2.0 license. 11-layer scanner pipeline covers scheme enforcement, CRLF injection detection, path traversal blocking, domain blocklisting, DLP, SSRF protection, rate limiting, URL length checks, and per-domain data budgets. Capability separation design: agent process holds secrets without network access, proxy holds network access without secrets.

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