Pattern: AI Security Auditing at Scale — Mozilla's Multi-Model Pipeline Found 14x More Bugs Than Manual Monthly Baseline

Mozilla Hacks·high signal

Mozilla's approach combines fuzzing, manual inspection, and an agentic AI pipeline across multiple models (Claude Mythos Preview as primary) to systematically audit Firefox's entire codebase. The result — 423 bugs in one month vs. a 20–30 monthly baseline — suggests a new pattern: security teams should treat AI auditing as a continuous pipeline, not a point-in-time scan. The key architectural choice was multi-stage verification to reduce false positives.