<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AI Agent Security Tools and Firewalls Compared on PipeLab</title><link>https://pipelab.org/compare/</link><description>Recent content in AI Agent Security Tools and Firewalls Compared on PipeLab</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sun, 24 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://pipelab.org/compare/index.xml" rel="self" type="application/rss+xml"/><item><title>Pipelock vs Cloudflare AI Gateway</title><link>https://pipelab.org/compare/pipelock-vs-cloudflare-ai-gateway/</link><pubDate>Mon, 04 May 2026 00:00:00 +0000</pubDate><guid>https://pipelab.org/compare/pipelock-vs-cloudflare-ai-gateway/</guid><description>&lt;p>Pipelock vs Cloudflare AI Gateway is a comparison across deployment models and trust boundaries. Pipelock emits mediator-signed action receipts from outside the agent trust boundary, scanning HTTP, MCP, and WebSocket egress on the agent&amp;rsquo;s network path. Cloudflare AI Gateway is a hosted observability and policy layer that sits at Cloudflare&amp;rsquo;s edge in front of LLM API calls, providing caching, rate limiting, retries, fallbacks, analytics, and prompt-and-completion scanning for harmful content and sensitive data. One sits on the agent side and watches every protocol the agent speaks. The other sits at the edge and watches LLM-API traffic specifically.&lt;/p></description></item><item><title>Pipelock vs Lakera Guard</title><link>https://pipelab.org/compare/pipelock-vs-lakera-guard/</link><pubDate>Wed, 22 Apr 2026 00:00:00 +0000</pubDate><guid>https://pipelab.org/compare/pipelock-vs-lakera-guard/</guid><description>&lt;p>Pipelock vs Lakera Guard is a comparison across trust boundaries. Pipelock emits mediator-signed action receipts from outside the agent trust boundary, scanning HTTP, MCP, and WebSocket egress. Lakera Guard is an inference-boundary classifier API that Check Point acquired in September 2025 and now ships as part of their AI security platform. One protects the actions the agent takes. The other protects the conversation with the LLM.&lt;/p>
&lt;h2 id="the-short-version">The short version&lt;/h2>
&lt;p>&lt;strong>&lt;a href="https://pipelab.org/pipelock/">Pipelock&lt;/a>&lt;/strong> is an open-source agent firewall. It scans HTTP, MCP, and WebSocket traffic for credential leaks, prompt injection, SSRF, and tool poisoning. Single Go binary, self-hosted, Apache 2.0 core. Every decision can emit a mediator-signed action receipt from a signing key Pipelock holds outside the agent trust boundary.&lt;/p></description></item><item><title>Pipelock vs Open Source MCP Gateways</title><link>https://pipelab.org/compare/pipelock-vs-open-source-mcp-gateways/</link><pubDate>Sat, 18 Apr 2026 00:00:00 +0000</pubDate><guid>https://pipelab.org/compare/pipelock-vs-open-source-mcp-gateways/</guid><description>&lt;p>Open source MCP gateways solve one side of the MCP problem: routing, access control, and multi-server policy. Pipelock solves the other side: content inspection on what actually flows through the connection. That is why this is not really Pipelock versus gateways. It is Pipelock next to gateways.&lt;/p>
&lt;h2 id="the-short-version">The short version&lt;/h2>
&lt;p>&lt;strong>Use an open source MCP gateway&lt;/strong> when you need to front many MCP servers with one auth and routing layer.&lt;/p></description></item><item><title>Pipelock vs Backslash Security</title><link>https://pipelab.org/compare/pipelock-vs-backslash/</link><pubDate>Sat, 11 Apr 2026 00:00:00 +0000</pubDate><guid>https://pipelab.org/compare/pipelock-vs-backslash/</guid><description>&lt;p>Pipelock vs Backslash Security is self-hosted open source vs managed SaaS, with different protocol scopes. Different choices for different stacks.&lt;/p>
&lt;h2 id="the-short-version">The short version&lt;/h2>
&lt;p>&lt;strong>&lt;a href="https://pipelab.org/pipelock/">Pipelock&lt;/a>&lt;/strong> is an open-source agent firewall. It runs as a single Go binary and scans HTTP, WebSocket, and MCP traffic for credential leaks, prompt injection, SSRF, and tool poisoning. Self-hosted by default. Free under Apache 2.0.&lt;/p>
&lt;p>&lt;strong>&lt;a href="https://www.backslash.security/" target="_blank" rel="noopener noreferrer">Backslash Security&lt;/a>&lt;/strong> is a closed-source SaaS security platform with an MCP Proxy product. It provides DLP and injection detection for MCP tool traffic, integrates directly with Cursor, Windsurf, and GitHub Copilot, and operates the MCP Server Security Hub, a public catalog of MCP server entries. Venture-funded with an enterprise sales motion.&lt;/p></description></item><item><title>Pipelock vs iron-proxy</title><link>https://pipelab.org/compare/pipelock-vs-iron-proxy/</link><pubDate>Sat, 11 Apr 2026 00:00:00 +0000</pubDate><guid>https://pipelab.org/compare/pipelock-vs-iron-proxy/</guid><description>&lt;p>Pipelock vs iron-proxy is content scanning vs boundary secret rewriting. Two open-source Go proxies solving agent egress from different angles.&lt;/p>
&lt;h2 id="the-short-version">The short version&lt;/h2>
&lt;p>&lt;strong>&lt;a href="https://pipelab.org/pipelock/">Pipelock&lt;/a>&lt;/strong> is an open-source network proxy. It scans HTTP, MCP, and WebSocket traffic for credential leaks, prompt injection, SSRF, and tool poisoning. Runs locally as a single binary. Works with any agent whose traffic is routed through it.&lt;/p>
&lt;p>&lt;strong>&lt;a href="https://github.com/ironsh/iron-proxy" target="_blank" rel="noopener noreferrer">iron-proxy&lt;/a>&lt;/strong> is an open-source Go egress firewall for AI agents, created by mslipper. Its core approach combines a domain allowlist with boundary secret rewriting: the proxy holds the real secrets, and the sandbox only ever sees placeholder tokens that get rewritten on the way out. That means a compromised sandbox cannot leak real credentials because it never had them.&lt;/p></description></item><item><title>Pipelock vs Palo Alto Prisma AIRS</title><link>https://pipelab.org/compare/pipelock-vs-prisma-airs/</link><pubDate>Sat, 11 Apr 2026 00:00:00 +0000</pubDate><guid>https://pipelab.org/compare/pipelock-vs-prisma-airs/</guid><description>&lt;p>Pipelock vs Prisma AIRS is a focused open-source tool vs an enterprise AI security platform. Different shapes, different price points, different commitments.&lt;/p>
&lt;h2 id="the-short-version">The short version&lt;/h2>
&lt;p>&lt;strong>&lt;a href="https://pipelab.org/pipelock/">Pipelock&lt;/a>&lt;/strong> is an open-source agent firewall. It scans HTTP, MCP, and WebSocket traffic for credential leaks, prompt injection, SSRF, and tool poisoning. It runs locally as a single Go binary. Apache 2.0 core. Free to self-host.&lt;/p>
&lt;p>&lt;strong>&lt;a href="https://www.paloaltonetworks.com/prisma/prisma-ai-runtime-security" target="_blank" rel="noopener noreferrer">Prisma AIRS&lt;/a>&lt;/strong> is Palo Alto Networks&amp;rsquo; AI runtime security platform. It covers AI asset discovery, red teaming of AI applications, runtime protection for models and agents, and agent identity. It is sold as part of the Prisma product family and integrates with the broader Palo Alto security stack.&lt;/p></description></item><item><title>Pipelock vs DefenseClaw</title><link>https://pipelab.org/compare/pipelock-vs-defenseclaw/</link><pubDate>Sun, 05 Apr 2026 00:00:00 +0000</pubDate><guid>https://pipelab.org/compare/pipelock-vs-defenseclaw/</guid><description>&lt;p>Pipelock vs DefenseClaw is a network proxy vs application sidecar comparison with different enforcement points.&lt;/p>
&lt;h2 id="the-short-version">The short version&lt;/h2>
&lt;p>&lt;strong>&lt;a href="https://pipelab.org/pipelock/">Pipelock&lt;/a>&lt;/strong> is a network proxy. It scans HTTP, MCP, and WebSocket traffic for credential leaks, injection, SSRF, and tool poisoning. Works with agents whose traffic is routed through it. Single binary.&lt;/p>
&lt;p>&lt;strong>&lt;a href="https://github.com/cisco-ai-defense/defenseclaw" target="_blank" rel="noopener noreferrer">DefenseClaw&lt;/a>&lt;/strong> is Cisco&amp;rsquo;s open-source governance sidecar for OpenClaw agents. Three components: a Python CLI for scanning and management, a Go gateway with a guardrail proxy and policy enforcement, and a TypeScript plugin that hooks into OpenClaw&amp;rsquo;s tool call lifecycle.&lt;/p></description></item><item><title>Pipelock vs Docker MCP Gateway</title><link>https://pipelab.org/compare/pipelock-vs-docker-mcp-gateway/</link><pubDate>Sun, 05 Apr 2026 00:00:00 +0000</pubDate><guid>https://pipelab.org/compare/pipelock-vs-docker-mcp-gateway/</guid><description>&lt;p>Pipelock vs Docker MCP Gateway is content scanning vs container isolation. Complementary layers that solve different problems.&lt;/p>
&lt;h2 id="the-short-version">The short version&lt;/h2>
&lt;p>&lt;strong>&lt;a href="https://pipelab.org/pipelock/">Pipelock&lt;/a>&lt;/strong> is a network proxy that scans HTTP, MCP, and WebSocket traffic for credential leaks, prompt injection, SSRF, and tool poisoning. Single binary, no dependencies.&lt;/p>
&lt;p>&lt;strong>&lt;a href="https://docs.docker.com/ai/mcp-gateway/" target="_blank" rel="noopener noreferrer">Docker MCP Gateway&lt;/a>&lt;/strong> runs MCP servers in isolated Docker containers with resource limits, network restrictions, and security controls. Part of Docker&amp;rsquo;s MCP ecosystem (Catalog + Profiles + Gateway).&lt;/p></description></item><item><title>Pipelock vs NemoClaw</title><link>https://pipelab.org/compare/pipelock-vs-nemoclaw/</link><pubDate>Sun, 05 Apr 2026 00:00:00 +0000</pubDate><guid>https://pipelab.org/compare/pipelock-vs-nemoclaw/</guid><description>&lt;p>Pipelock vs NemoClaw is content scanning vs container sandboxing. Different layers that work well together.&lt;/p>
&lt;h2 id="the-short-version">The short version&lt;/h2>
&lt;p>&lt;strong>&lt;a href="https://pipelab.org/pipelock/">Pipelock&lt;/a>&lt;/strong> is a network proxy that scans HTTP, MCP, and WebSocket traffic for credential leaks, prompt injection, SSRF, and tool poisoning. Single binary, works with agents whose traffic is routed through it.&lt;/p>
&lt;p>&lt;strong>&lt;a href="https://github.com/NVIDIA/NemoClaw" target="_blank" rel="noopener noreferrer">NemoClaw&lt;/a>&lt;/strong> is NVIDIA&amp;rsquo;s container sandbox orchestrator. It provisions hardened Docker containers with network allowlists, filesystem restrictions, and process isolation for AI agents running on the OpenClaw framework.&lt;/p></description></item><item><title>Pipelock vs Runlayer</title><link>https://pipelab.org/compare/pipelock-vs-runlayer/</link><pubDate>Sun, 05 Apr 2026 00:00:00 +0000</pubDate><guid>https://pipelab.org/compare/pipelock-vs-runlayer/</guid><description>&lt;p>Pipelock vs Runlayer is local enforcement vs managed governance. Self-hosted scanning vs a cloud control plane.&lt;/p>
&lt;h2 id="the-short-version">The short version&lt;/h2>
&lt;p>&lt;strong>&lt;a href="https://pipelab.org/pipelock/">Pipelock&lt;/a>&lt;/strong> is an open-source network proxy. It scans HTTP, MCP, and WebSocket traffic for credential leaks, injection, SSRF, and tool poisoning. Runs locally as a single binary. Works with agents whose traffic is routed through it.&lt;/p>
&lt;p>&lt;strong>&lt;a href="https://www.runlayer.com/" target="_blank" rel="noopener noreferrer">Runlayer&lt;/a>&lt;/strong> is a managed control plane for AI agent tool access. It governs which MCP tools agents can use, integrates with identity providers (Okta, Entra), resolves credentials through 1Password, detects shadow MCP servers, and applies security models to tool calls. Available as SaaS or self-hosted/VPC deployment.&lt;/p></description></item><item><title>Agent Firewall vs Guardrails</title><link>https://pipelab.org/compare/agent-firewall-vs-guardrails/</link><pubDate>Tue, 24 Feb 2026 00:00:00 +0000</pubDate><guid>https://pipelab.org/compare/agent-firewall-vs-guardrails/</guid><description>&lt;p>The agent firewall vs guardrails question comes down to where enforcement happens.&lt;/p>
&lt;h2 id="the-short-version">The short version&lt;/h2>
&lt;p>&lt;strong>Guardrails&lt;/strong> check the model&amp;rsquo;s intent before it acts. They run inside the inference pipeline.&lt;/p>
&lt;p>An &lt;strong>&lt;a href="https://pipelab.org/agent-firewall/">agent firewall&lt;/a>&lt;/strong> checks what goes over the wire after the model acts. It runs at the network layer.&lt;/p>
&lt;p>Guardrails catch bad reasoning. Agent firewalls catch bad traffic. They fail in different ways. Use both.&lt;/p>
&lt;h2 id="the-trust-boundary-problem">The trust boundary problem&lt;/h2>
&lt;p>Here&amp;rsquo;s why this matters: guardrails and the model share a trust boundary.&lt;/p></description></item><item><title>Agent Firewall vs WAF: What's the Difference?</title><link>https://pipelab.org/compare/agent-firewall-vs-waf/</link><pubDate>Tue, 24 Feb 2026 00:00:00 +0000</pubDate><guid>https://pipelab.org/compare/agent-firewall-vs-waf/</guid><description>&lt;p>The agent firewall vs WAF comparison is about direction: one protects servers from users, the other protects users from agents.&lt;/p>
&lt;h2 id="the-short-version">The short version&lt;/h2>
&lt;p>A &lt;strong>WAF&lt;/strong> (web application firewall) sits in front of a web server. It blocks inbound attacks like SQL injection, XSS, and request smuggling.&lt;/p>
&lt;p>An &lt;strong>&lt;a href="https://pipelab.org/agent-firewall/">agent firewall&lt;/a>&lt;/strong> sits between an AI agent and the internet. It scans outbound requests for credential leaks and inbound responses for prompt injection.&lt;/p></description></item><item><title>Pipelock vs Agent Wall</title><link>https://pipelab.org/compare/pipelock-vs-agent-wall/</link><pubDate>Tue, 24 Feb 2026 00:00:00 +0000</pubDate><guid>https://pipelab.org/compare/pipelock-vs-agent-wall/</guid><description>&lt;p>Pipelock vs Agent Wall comes down to scope: full network scanning vs MCP-focused tool control.&lt;/p>
&lt;h2 id="the-short-version">The short version&lt;/h2>
&lt;p>&lt;strong>&lt;a href="https://pipelab.org/pipelock/">Pipelock&lt;/a>&lt;/strong> is a Go proxy that scans both HTTP and MCP traffic. It covers DLP, prompt injection, SSRF, tool poisoning, rug-pull detection, and data budgets across all agent network activity.&lt;/p>
&lt;p>&lt;strong>Agent Wall&lt;/strong> is a TypeScript MCP gateway focused on tool call control. It includes chain-of-command visualization (which agent called which tool through which chain), a kill switch for stopping compromised agents, and a dashboard for monitoring MCP activity.&lt;/p></description></item><item><title>Pipelock vs LlamaFirewall</title><link>https://pipelab.org/compare/pipelock-vs-llamafirewall/</link><pubDate>Tue, 24 Feb 2026 00:00:00 +0000</pubDate><guid>https://pipelab.org/compare/pipelock-vs-llamafirewall/</guid><description>&lt;p>Pipelock vs LlamaFirewall is a network-layer vs inference-layer comparison. They solve different problems at different points in the stack.&lt;/p>
&lt;h2 id="the-short-version">The short version&lt;/h2>
&lt;p>&lt;strong>&lt;a href="https://pipelab.org/pipelock/">Pipelock&lt;/a>&lt;/strong> is a network-layer proxy. It scans HTTP requests and MCP tool calls for credential leaks, prompt injection, and tool poisoning. Works with any agent that makes HTTP requests.&lt;/p>
&lt;p>&lt;strong>LlamaFirewall&lt;/strong> is an inference-layer Python library from Meta. It checks the model&amp;rsquo;s reasoning chain before it acts, using three scanners: PromptGuard (input classification), AlignmentCheck (chain-of-thought auditing), and CodeShield (static analysis of generated code).&lt;/p></description></item></channel></rss>