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GitHub adopts cheaper AI model to catch secrets developers leave in code
Help Net Security·October 14, 2026·1 min read

AI Summary
GitHub has developed a specialized credential classifier that significantly improves its ability to detect secrets and credentials accidentally committed to code repositories while reducing false positive alerts. The new system achieves an 86% reduction in scan execution time and cuts model serving costs by over 98% compared to the previous large language model approach.
From the source
GitHub has trained a credential classifier to improve generic secret detection and reduce false alerts. The new pipeline cut median post-push scan execution time by 86% and model serving costs by more than 98% compared with its previous large language model (…
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