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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
GitHub adopts cheaper AI model to catch secrets developers leave in code

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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View original at Help Net Security

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