I built a prompt injection firewall in Rust. It scans in 12μs.
Every LLM application has the same two problems:
Users paste sensitive data (SSNs, credit cards, API keys) into prompts — and you send it to OpenAI/Anthropic/Google
Users (or attackers) inject "ignore previous instructions" — and your agent does whatever they want
The standard solutions are slow. Microsoft Presidio takes ~200ms per scan. LLM Guard takes ~300ms and needs 47+ Python dependencies including PyTorch. Lakera is a paid cloud API — your data leaves your infrastructure.






