Behavioral analytics is a method used in fraud detection and prevention that focuses on analyzing patterns of behavior to identify unusual or suspicious activities. This approach involves monitoring user behavior, such as online interactions and transaction history, to establish a baseline of normal behavior. When deviations from this baseline occur, it may indicate fraudulent or malicious activity. Behavioral analytics leverages machine learning and data analysis to continuously adapt to evolving fraud schemes, providing financial institutions with a powerful tool to detect fraudulent behavior in real-time.