They pitch their company as finding bugs "with AI". It's not hard to point one of the coding agents at a repo URL and have it find bugs even in code that's been in the wild for a long time, looking at their list that looks likely to be what they're doing.
The list is pretty short though for 8 months. ossfuzz has found a lot more even with the fuzzers often not covering a lot of the code base.
Manually paying people to write fuzzers by hand would yield a lot more and be less expensive than data centers and burning money, but who wants to pay people in 2026?
It does not matter what purported categories buffer overflows are in when manual fuzzing finds 100 and "AI" finds 5.
If Google gave open source projects $100,000 per year for a competent QA person, it would cost less than this "AI" money straw fire and produce better results. Maybe the QA person would also find the 5 "AI" detected bugs.
This would make sense if every memory corruption vulnerability was equivalently exploitable, which is of course not true. I think you'll find Google does in fact fuzz ffmpeg, though.
Google gives a pittance even for full ossfuzz integration. Which is why many projects just have the bare minimum fuzz tests. My original point was that even with these bare minimum tests ossfuzz has found way more than "AI" has.
I can't speak to what exactly this team is doing but I haven't seen any evidence that with-robot finds less bugs than without-robot. I do have some experience in this area.