LLM supervision changes fuzzing from a labor-heavy craft into a pipeline. The weak point is no longer just the fuzzing engine. It is the classifier and prioritizer deciding which paths get attention, because that gate now controls ROI.
CERT Polska says the CCN project built an autonomous fuzzing system that handles code analysis, test generation, crash triage, and reporting. Its first campaigns already found real bugs in widely used open-source software, including CVE-2026-35251 and CVE-2026-42268.
That makes bug discovery faster for common components, but it also makes poor ranking more expensive. A weak top-of-funnel model can burn compute on low-value paths and bury good findings in triage noise.