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AI & Law
AI red-teaming: turning security testing into compliance evidence
Systematic red-teaming not only improves safety but proves diligence to regulators and customers.
For generative and high-risk AI, systematic red-teaming — actively seeking misuse, jailbreaks, and harmful output — is becoming an expected governance action.
Documented, reproducible red-team results are important evidence of reasonable care for regulators and enterprise customers.
Fold red-teaming into the model-release flow, cover key misuse scenarios, keep findings and remediation records, and retest regularly.