GitHub Blog · AI & ML· Batu Ozturkler·· 3 d ago
GitHub’s model for secret detection: Finding more secrets with less noise
GitHub’s model for secret detection: Finding more secrets with less noise
AI summary
GitHub’s context-aware secret classifier improves detection quality, raises weighted acceptance by 11.5%, and reduces median scan execution time by 86%.
Selection record
Threshold 60Official, first-handFirst 42Second 34
Not admittedSum of both 76 < twice the threshold 120
- Source tier
- Official, first-hand; this tier's threshold is 60
- Pre-filter
- passed：GitHub用ModernBERT模型做密钥检测
A model scores each item twice, independently, against one written standard, out of 100. An item is admitted only when the two scores add up to twice the threshold. The threshold is set per source tier.
Source: GitHub Blog · AI & ML · github.blog