We used AI-assisted differential fuzzing to find bugs in WebAssembly runtimes, and it found a real bug in WAMR, while also confidently flagging behavior that turned out to be valid. The experiment shows where AI is already extremely useful in security testing: generating evidence and accelerating investigation, while leaving the final judgment to human expertise.
