Hardening the Network When AI Iteration Outpaces Defense
For most of my career designing and running enterprise networks, the threat model had a predictable rhythm. A CVE dropped, an exploit proof-of-concept circulated, signatures were pushed to the firewalls, and we scheduled maintenance windows to patch. It was a game of cat and mouse, but both players were running on human time. Over the past year, that rhythm broke. The biggest shift in our security landscape isn't just external adversaries; it’s what happens when internal users, developers, and autonomous models start iterating at machine speed. From human cadence to machine loops When someone uses an AI assistant or a local LLM to solve a problem, they don't craft a single request and wait. They iterate. They paste switch configurations, terminal outputs, error traces, and API responses into a prompt loop, tweak the question five seconds later, and paste again. A script that used to take three days to research, draft, and test now lands in ten minutes. But so do the unint...
