Data analysis for fraud detection is the application of analytical techniques, including machine learning and statistical modeling, to identify fraudulent activities in financial transactions, insurance claims, and cybersecurity. It detects anomalies, suspicious behavior, and risk patterns to prevent fraud and minimize financial losses.