LLMs are ridiculously useful for tasks where false positives (and false negatives) are acceptable but where true positive are valuable.
I've gotten a lot of mileage with prompts like "find bugs in [file contents]" in my own side projects (using a CoT model; before, and in addition to, writing tests). It's also fairly useful for info search (as long as you fact-check afterwards).
Last weekend, I've also had o4-mini-high try for fun to make sense & find vulns in a Nintendo 3DS kernel function that I've reverse-engineered long ago but that is rife with stack location reuse. Turns out, it actually found a real 0day that I failed to spot, and which would have been worth multiple thousands dollars before 2021 when Nintendo still cared about security on the 3DS.
See also: https://www.theregister.com/2025/04/21/ai_models_can_generat...