Fraud Detection - Page 2

Fraud Detection refers to the processes and technologies used to identify and prevent unauthorized or deceptive financial activities that may lead to financial loss. It involves monitoring, analyzing, and investigating transactions or behaviors that deviate from expected patterns, signifying potential fraud. Various techniques, including statistical analysis, machine learning, and data mining, are employed to detect anomalies and flag suspicious activities across multiple sectors, including banking, insurance, and e-commerce. Fraud detection aims to safeguard assets, mitigate risks, and enhance the overall integrity of financial systems by identifying fraudulent actions before they can cause harm.