GitHub says its secret classifier improves detection and cuts scan time
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GitHub says its context-aware secret classifier improves detection quality with less noise. According to the company, the model increased weighted acceptance by 11.5% and reduced median scan execution time by 86%.
Why it matters · editorial interpretation
GitHub’s claim suggests that more context-aware secret classification could help teams prioritize alerts with less noise and complete scans faster. That may reduce operational friction in code security, although the figures are provided by the company itself.
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