A Complete Guide to AI Red-Teaming (With Garak Tutorial)

Earlier this year, an autonomous AI agent breached McKinsey’s internal AI platform using nothing more than an old SQL injection flaw. No credentials. No human guidance. Less than two hours. It reached production systems, exposing millions of chat messages and hundreds of thousands of files. AI security has changed, and traditional assumptions no longer hold. In this article, I’ll explain what AI red-teaming is, the attacks that matter most, and how to test AI systems before attackers do. What Is Red-Teaming in AI Systems? What Is Red-Teaming in AI Systems? Red teaming is breaking your own AI system before someone else does it for you. Instead of crossing your fingers and hoping nobody finds a way to make your chatbot leak data or say something it shouldn’t, you sit down and try to break it yourself. On purpose. While it’s still safe to fix. The name comes from the military. Red team plays attacker; blue team plays defender. For LLMs, that means throwing the nastiest inputs you can think of at your model and watching what comes back: Does it reveal something private? Does it agree to something it should refuse? Can you manipulate it into acting way outside its…