AI & ML

GitHub’s model for secret detection: Finding more secrets with less noise

GitHub’s context-aware secret classifier improves detection quality, raises weighted acceptance by 11.5%, and reduces median scan execution time by…

Secret protection must scale with software

Developers aren’t becoming more careless; they’re being outpaced. The tools that let developers create more software should also take on more of the…

How to evaluate LLMs before production

These are the lessons we learned evaluating LLMs for real-world secret scanning. The post How to evaluate LLMs before production appeared first on T…

Making secret scanning more trustworthy: Reducing false positives at scale

Alerts are more trustworthy and actionable when noise is reduced. See how we improved the verification step with context-aware LLM reasoning. The po…