GitHub Security Lab open-sources an agent pipeline that runs fuzzing end to end

Summary

GitHub Security Lab has released the Fuzzing Taskflow, a pipeline in which an LLM agent handles fuzz testing for C/C++ projects end to end. Given only a repository address, the agent picks target functions, writes harnesses, runs AFL++, reads coverage reports to improve the harnesses, triages crashes, and writes a report for each unique vulnerability. The code is open source, and the post warns that it executes model-chosen build commands directly on the host, so it should only run in a disposable environment.

Why it matters for our work

It is a concrete example of how much specialist verification work can move to agents while people keep the supervising and reviewing role. Security testing that used to need continuous human attention can run as a supervised pipeline, changing the speed and staffing of this kind of research work.

Translated from the Korean original. Summaries may be translated and edited. Commentary reflects our perspective; forecasts remain the source’s views.