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An IS auditor is considering the integration of AI techniques into the audit sampling process. Which of the following BEST enables the auditor to identify high-risk transactions within large data sets for targeted sampling?
Correct Answer: D
Predictive analyticsis the most effective method for identifyinghigh-risk transactionsbecause it uses statistical models, anomaly detection, and machine learning to: * Rank transactions by inherent and residual risk * Detect hidden patterns that auditors cannot manually identify * Highlight unusual transaction profiles, outliers, and red flags * Prioritize transactions that require deeper inspection AAIA's audit domain emphasizesrisk-based sampling enhanced by AI, where predictive models significantly improve coverage and accuracy. NLP (A) extracts insights from text-not ideal for transaction risk scoring. OCR (B) digitizes documents but does not identify risk. Rule-based analytics (C) only catches known patterns; predictive analytics uncoversunknown or emerging risks. References: AAIA Domain 3: AI in Audit Processes(advanced analytics, anomaly detection, risk scoring).