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ISACA Advanced in AI Audit (AAIA) · Isaca
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D. Anonymizing patient data and performing regular quality checks Anonymizing (or pseudonymizing) protects patient privacy (security/confidentiality) by removing identifiable information before using data for AI training. Regular quality checks ensure data remains accurate, consistent, and fit for use over time — directly supports integrity. This covers both security (via anonymization) and integrity (via quality checks) of the personal data used in training.
D. A cannot prevent inference and cannot address integrity issue.
D - the question is about two distinct parts - "personal data is secure and its integrity is maintained". Addressing both by anonymisation and regular data quality checks.