Making secret scanning more trustworthy: Reducing false positives at scale

Short summary

GitHub improved secret scanning using context-aware LLM reasoning to reduce false positives in alerts. The enhancement makes security alerts more trustworthy and actionable for developers by filtering noise from detection pipelines.

• •GitHub added context-aware LLM reasoning to secret scanning
• •Reduces false positives and improves alert trustworthiness
• •Makes alerts more actionable at scale

Generated with AI, which can make mistakes.