Red Teaming
Deliberately attacking your own AI system to find failures before someone else does.
Red teaming is adversarial testing: people try to make the model produce harmful, false, or off-policy output, and the findings feed back into training and guardrails. It differs from normal evaluation by being creative and open-ended rather than scored against a fixed set. For frontier models it is increasingly a regulatory expectation.
In practice: Twenty people spending a week trying to make a support bot promise refunds it cannot honour.
Where this comes up
- AI Guardrails for Sale: What the Abliteration Story Proves, and What It Does Not
- AI Red Teaming Jobs: Roles, Skills, and How to Prepare
- AI Security Certification: Your Complete Guide
- Gemini 3.8 Flash Explained: Benchmarks, Pricing, and How It Compares With Claude
- Gemini Omni Flash: Google Video Model, API, Pricing & Limits
- Is Claude Conscious? Anthropic's J-Space Research Explained