Preliminary research
How to scan for vulnerabilities with GitHub Security Lab's open source AI-powered framework
AI-collected research leads through 2 October 2026, including bounded month-by-month reviews of selected social and community sources from March through September. Unranked, incomplete, not community-vetted, and subject to change.
Presents GitHub Security Lab's open taskflow framework for model-assisted vulnerability auditing. Component and context extraction feed explicit audit tasks into a measured queue whose findings are manually validated, providing a reproducible workflow rather than treating model output as proof.
Record
- Researcher
- Man Yue Mo and Peter Stöckli
- Published by
- The GitHub Blog
- Date
In the archive
Tags
This page is the archive's own catalogue record. The research is the work of Man Yue Mo and Peter Stöckli, first published at the original source. Preserved copies are kept so the citation survives its host.