Most "AI pentester" projects are a single LLM in a while-loop with a shell. You give it a target, it...
Most "AI pentester" projects are a single LLM in a while-loop with a shell. You
give it a target, it runs commands until it decides it found something. That's
how you get confident nonsense — a model that writes a beautiful vulnerability
report for a bug that doesn't exist.
I wanted the opposite: an engine where a finding has to be earned. So I built
I spent two semesters building an AI agent that runs penetration tests. For the non-hackers in the...
I built an AI that pentests my AI — and forced it to prove every exploit Point an LLM at...
I've been building an autonomous penetration-testing agent — an LLM driving real tools (nmap,...
A read-only audit of my own observability stack, run like an engagement. Almost every serious thing it found was inside a defence…
If you point any LLM at a target and ask it to "write a security report," it will confidently invent...
Mythos and GPT-5.5 muscle out the competition
