GitHub’s model for secret detection: Finding more secrets with less noise
GitHub’s context-aware secret classifier improves detection quality, raises weighted acceptance by 11.5%, and reduces median scan execution time by 86%.
Shengyu Fu
As a Partner Applied Science Manager in Microsoft CoreAI, I lead an applied research team that measurably boosts developer productivity with ML and AI. We evolve GitHub Copilot in Completion, Chat, Code Review, and agentic workflows by continuously refining models and applying in-context learning for deeper, context-aware assistance.
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