Red Teaming

Red teaming is a proactive adversarial evaluation practice in which testers deliberately try to elicit unsafe, incorrect, or policy-violating behavior from a model. Human red-teamers craft creative edge-case prompts, while automated red-teaming uses a separate model to generate adversarial inputs at scale. The findings feed into safety fine-tuning, guardrail design, and model policy updates before or after public deployment.