Lessons From AI Hacking: Every Model, Every Layer Is Risky

**Executive summary:** Wiz researchers' two-year assessment found systemic security weaknesses across five AI-stack layers — from training-data leakage and executable model formats (Pickle) to inference/server vulnerabilities (including chained Triton issues), insecure vibe-coding apps, and AI cloud-hosting risks — creating conditions that could allow widespread compromise of AI platforms and their customers.