IT, data & continuous
Anomaly Detection (Audit)
A data technique in which statistical or machine learning models identify deviations from normal patterns in transactions or system behavior. Anomaly detection serves to uncover fraud, compliance violations and technical errors. Examples include Isolation Forest, Local Outlier Factor and Z-score analysis. Widely used in CCM and continuous auditing.
Source: MDPI research; IIA GIAS 2024