Fraud detection refers to the process of identifying and preventing fraudulent activities, such as identity theft, financial scams, or illegal transactions. It involves analyzing patterns, behaviors, and data anomalies to detect fraudulent behavior, ultimately minimizing financial losses and protecting individuals and businesses from potential threats. Cutting-edge technologies, such as machine learning and data analytics, are often used to proactively identify suspicious activities, enhance security measures, and prevent potential frauds before they occur.