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GitHub Reduces Secret Scanning False Positives with LLM Verification
GitHub Blog3 days agoReleaseGitHub describes an improvement to secret scanning that uses context-aware LLM reasoning during verification, after candidate secrets are detected. Instead of sending whole files or repositories to a model, the system extracts focused usage signals, such as whether a value flows into authentication, API, database, or cloud SDK code. In tests on customer-confirmed false positives, GitHub reports a 75.76% reduction, above its 65% target, while preserving detection coverage.
Vercel 推出全新 Token 格式與金鑰掃描功能，主動防止憑證外洩★ 75
Vercel Changelog125 days agoRelease### Vercel Upgrades Security: New Token Format and Secret Scanning Mechanism In modern web and AI application development, the secure management of API tokens…