Advanced approach to AI system red teaming that integrates structured methodologies, automation, quantitative metrics, and repeatable processes to identify vulnerabilities in machine learning models, LLMs, and AI-powered applications. Includes adversarial testing techniques, advanced prompt injection, model extraction, poisoning detection, and systematic robustness assessment against sophisticated attacks.