AI Firewall

What it does

Most AI security tools are developer SDKs or API proxies — you drop them in front of your LLM and they scan for prompt injection, jailbreaks, and PII leaks. That's valuable. But they assume a single developer team owns the LLM integration. AI Firewall is built for the opposite problem: the enterprise where dozens of teams, departments, or business units each have their own AI usage — and someone in IT or security needs centralised control over all of it.

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  HOL GuardJul 2026 · hol.org · ▲106

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  AI Hive May 2026 · app.aihive.global · ▲53

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  Ai-FirewallNov 2025 · ai-firewall.replit.app · ▲1

  Prompt security analysis

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  AI Safeguard2025 · aisafeguard.co.uk · ▲14

  Prevent sensitive data leaks in popular LLM's like ChatGPT

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  A simple, work-in-progress API proxy2012 · apiaxle.com · ▲18

  Managed auth and 10,000+ tools across 3,000+ APIs for the agents you’re building — and a secure gateway for the AI tools your company uses.

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  I built a firewall for agents because prompt engineering isn't securityJan 2026 · github.com · ▲7

  Hi HN, I’m the creator of Cordum. I’ve been working in DevOps and infrastructure for years (currently in the fintech/security space), and as I started playing with AI agents, I noticed a scary pattern. Most "safety" mechanisms rely on system prompts ("Please don't do X") or flimsy Python logic inside the agent itself. If we treat agents as autonomous employees, giving them root access and hoping they listen to instructions felt insane to me. I wanted a way to enforce hard constraints that the LLM cannot override, no matter how "jailbroken" it gets. So I built Cordum. It’s an open-source…

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