What is AI red teaming?

AI red teaming is an essential practice that involves simulating adversarial attacks against AI models to identify and fix safety and security vulnerabilities. This process is carried out by ethical hackers who use specific adversarial methods and skills. Companies of all sizes are now utilizing AI models, making AI red teaming a vital component for ensuring the safety and security of these systems. Key components of AI red teaming include threat modeling, objectives, cadence, and diversity within the red team. Examples of red teaming scenarios include LLM safety and excessive agency. Automated scanning tools can help bolster defenses, but AI red teaming provides unique insights into how threat actors think, making it an important tool in maintaining AI security.