How I Built a Red/Blue Team Loop That Teaches My AI Firewall to Defend Itself

Static detection rules have a shelf life. The day you ship them, they start going stale. Adversaries iterate — they rephrase, reframe, embed attacks in metaphors, wrap them in hypotheticals, and find the edges of whatever ruleset you have. If your firewall can only catch what you already thought of, you're always playing catch-up. This is the problem I set out to solve with Sentinel's adversarial self-tuning loop: a daily cron job that pits a red team (Claude) against a blue team (Sentinel's own