Glossary
Red teaming
Quick answer
Deliberately testing an AI system by trying to make it fail, misbehave or reveal information it should not.
Red teams probe models for unsafe output, bias, jailbreaks and privacy leaks before and after release. The work produces adversarial prompts and records of how the model responded.
Realistic business scenarios, such as tricky support conversations or edge-case approvals, help red teams test how models behave in professional settings rather than only in toy examples.
Why Red teaming matters when licensing company data to AI
Red teaming means deliberately testing an AI system by trying to make it fail, misbehave or reveal information it should not. Testers use realistic business scenarios, such as tricky support conversations or edge-case approvals, to probe the model for unsafe output and privacy leaks. The records of those attempts, and how the model responded, can themselves become useful examples.
- 01Your work records
- 02Personal details removed
- 03You approve the release
- 04Licensed to AI developers
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