Red Teaming — AI Glossary

Red teaming in AI is the practice of systematically probing an AI system for vulnerabilities, failure modes, and harmful behaviors through adversarial testing. Red team members attempt to elicit unsafe outputs, bypass guardrails, expose biases, and discover edge cases that could cause real-world harm. The findings are used to strengthen the model's safety before public deployment.