Fraud detection refers to the process of identifying potentially fraudulent activities or transactions within financial systems. This process involves analyzing data, transaction patterns, and behavioral indicators to detect anomalies and signs of fraud. Fraud detection systems use various techniques, including statistical analysis, machine learning, and rule-based algorithms, to identify suspicious behavior and generate alerts for further investigation.