Benford's law analysis is a powerful technique for identifying irregularities or anomalies in numerical datasets, such as financial transactions. It detects deviations from expected frequency distributions, which may indicate fraud. * Control Self-Assessments (CSAs) (Option A):Useful for control evaluation but not for fraud detection. * Interviews with Control Owners (Option B):Provide insights but are not efficient for identifying fraudulent patterns. * Regression Analysis (Option C):Effective for predictive modeling but less so for detecting fraud in transactional data. Reference:ISACA CISA Review Manual, Job Practice Area 4: Protection of Information Assets.