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GitHub says new secret classifier cuts scan time and false positives

GitHub says a ModernBERT-based secret classifier improved weighted acceptance 11.5% and cut median post-push scan time 86%. GitHub said its new context-aware secret classifier is improving secret scanning quality while lowering execution costs, with a two-stage pipeline that combines deterministic regex candidate…

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