It has improved secret scanning by using context-aware LLM reasoning to reduce false positives at scale.
The security value is straightforward: alerts only help if developers trust them. Too much noise turns real risk into background clutter, so better verification can matter as much as detection coverage.
It is a practical example of AI being used inside developer infrastructure, not as a coding demo but as a way to improve the quality of security workflows.