AI Glossary
Red-teaming
What is Red-teaming?
A structured process in which a team attempts to find failure modes, safety violations, and unexpected behaviors in an AI system — analogous to penetration testing in cybersecurity. Red-teaming is used by AI labs to identify and mitigate harmful outputs before public deployment. It is increasingly recommended as a standard step in enterprise AI deployment reviews.
Example in practice
An enterprise AI team that hires an external group to spend two weeks systematically trying to elicit policy violations, biased outputs, and data leaks from their AI assistant before go-live is conducting red-teaming.
Learn more
See Red-teaming applied in a professional context through this free course.
AI Strategy for Leaders →