Prompt-injection firewall for AI agents
Block malicious web content before it reaches your AI.
What it does
Hey Product Hunt! 👋 Instead of relying on clever prompts (which can be bypassed), SafeBrowse enforces a hard security boundary between untrusted content and your LLMs. Key features: • 50+ prompt injection patterns detected • Policy engine for login/payment forms • RAG sanitization for vector DBs • Python SDK with sync/async support • Fail-closed: security cannot be bypassed We'd love your feedback! What security challenges are you facing with AI agents?
Does the same job
all alternatives →- SAStop AI scrapers from hammering your self-hosted blog (using porn)Dec 2025 · github.com · ▲373
Alright so if you run a self-hosted blog, you've probably noticed AI companies scraping it for training data. And not just a little (RIP to your server bill). There isn't much you can do about it without cloudflare. These companies ignore robots.txt, and you're competing with teams with more resources than you. It's you vs the MJs of programming, you're not going to win. But there is a solution. Now I'm not going to say it's a great solution...but a solution is a solution. If your website contains content that will trigger their scraper's safeguards, it will get dropped from their data…
Agent Browser ShieldJun 2026 · github.com · ▲109Block prompt inject & cut token costs for AI browser agents
- OSOpen-Source Gateway to Stop Tool-Abusing Prompt InjectionsOct 2025 · archestra.ai · ▲9
Hi HN, Matvey, Ildar, Joey, and Dominik here. If you're building LLM agents that use tools, you're probably worried about prompt injection attacks that can hijack those tools. We were too, and found that solutions like prompt-based filtering or secondary "guard" LLMs can be unreliable. Our thesis is that agent security should be handled at the network level between the agent and the LLM, just like a traditional web application firewall. So we built Archestra Platform: an open-source gateway that acts as a secure proxy for your AI agents. It's designed to be a deterministic firewall against…
- IBI 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…
- LCLLMs can be susceptible to a new kind of malware2023 · github.com · ▲17
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