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AI와 법률

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.

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