Making secret scanning more trustworthy: Reducing false positives at scale

GitHub collaborated with Microsoft Security & AI's Agents Offense team to apply contextual reasoning from Agentic Secret Finder to secret scanning. The approach combines pattern-based and AI-powered detection with LLM-based verification to reduce low-value alerts. This improves developer trust by cutting noise while maintaining detection coverage across billions of pushes.