Built by
Khuur.

Snitch started as a way to give AI coding tools structured security knowledge. We noticed that AI assistants could write code fast but had no systematic way to check what they wrote. Security scanning tools existed, but they were built for security teams — not for developers working inside AI-powered editors.

So we built a security audit skill that runs where developers already work: inside their AI tool. No context switching. No separate dashboard. Just tell your AI to run a security audit, and Snitch handles the rest.

Today, Snitch is used by developers and teams across 30+ AI coding tools. It covers 68 security categories including the full OWASP Top 10:2025, API Security:2023, and LLM:2025 standards. Every finding comes with file paths, line numbers, and exact code evidence — because vague warnings don't get fixed.

The goal has always been the same: make security scanning accessible to every developer, not just security teams. The best security tool is the one you actually use.