Show HN: A Prompt-Injection Firewall for AI Agents and RAG Pipelines

4 points by AadilSayed ↗ HN
We built SafeBrowse — an open-source prompt-injection firewall for AI systems.

Instead of relying on better prompts, SafeBrowse enforces a hard security boundary between untrusted web content and LLMs.

It blocks hidden instructions, policy violations, and poisoned data before the AI ever sees it.

Features: • Prompt injection detection (50+ patterns) • Policy engine (login/payment blocking) • Fail-closed by design • Audit logs & request IDs • Python SDK (sync + async) • RAG sanitization

PyPI: pip install safebrowse

Looking for feedback from AI infra, security, and agent builders.

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Introducing SafeBrowse

A prompt-injection firewall for AI agents.

The web is not safe for AI. We built a solution.

The problem:

AI agents and RAG pipelines ingest untrusted web content.

Hidden instructions can hijack LLM behavior — without humans ever seeing it.

Prompting alone cannot solve this.

The solution:

SafeBrowse enforces a hard security boundary.

Before: Web → LLM → Hope nothing bad happens

After: Web → SafeBrowse → LLM

The AI never sees malicious content.

See it in action:

Scans content before your AI Blocks prompt injection (50+ patterns) Blocks login/payment forms Sanitizes RAG chunks

I've already bypassed it. Next!