For Episode 3 of Verified or Not , I pointed Debuggix at Kubernetes Goat — a deliberately vulnerable K8s cluster designed for security training. The Raw Numbers 134 total findings 2 critical 32 high 33 medium 14 low A traditional scanner would dump all 134 on you and call it a day. What Debuggix Did Differently The AI filter cross-referenced every finding against the project's README. It saw "deliberately vulnerable" and "security training" — and correctly classified all 134 findings as intentional. Needs Attention: 0 Reviewed: 134 Every "critical" and "high" finding was part of the training environment. The filter understood the project's purpose. Why This Matters Most security tools are dumb. They flag everything. Debuggix reads your project documentation and understands context. A vulnerable training cluster shouldn't trigger the same alarms as a production API.…