The Hidden Playbook of LLMs: How AI Quietly Thinks Like a Hacker
Security work has always had a slightly unfashionable virtue: it forces abstractions to confess. A chatbot demo can survive a vague answer. A vulnerability analyst cannot. When the task is binary analysis, the system has to move through addresses, functions, call sites, arguments, sinks, and partial evidence. It has to decide which path is worth following, which branch is noise, when to stop staring at one hypothesis, and when to crawl back to an earlier lead. In other words, it has to do the thing most AI product pages politely avoid naming: control the search. ...