BioCatch uses behavioral biometrics to detect fraud based on how users type, swipe, scroll, and interact with digital interfaces. Its AI models analyze hundreds of behavioral parameters in real time to identify anomalies that may indicate fraud, such as account takeover or social engineering attacks. This allows businesses to detect threats without relying solely on passwords or static credentials. The platform continuously monitors user behavior throughout sessions, providing ongoing authentication and fraud detection. It is particularly effective against sophisticated fraud techniques, including phishing, malware, and insider threats. BioCatch also offers advanced analytics and risk scoring to help organizations respond quickly to suspicious activity. BioCatch is widely adopted by banks, financial institutions, and large enterprises that require advanced fraud detection with minimal user friction. Its behavioral intelligence approach enhances security while maintaining a seamless user experience, making it a critical tool in modern fraud prevention strategies.