Slashing False Positives at Scale: Making Secret Scanning More Trustworthy
AI News Flash: GitHub recently rolled out a major upgrade to its Secret Scanning feature, with the core goal of significantly cutting false positive rates so the security alerts developers receive are more trustworthy and more actionable. The key improvement lies in strengthening the validation step — introducing context-aware large language model (LLM) reasoning so the system can draw on broader contextual information when determining whether a string is a real leaked credential…