Analyzes user context and behavior in real time to prevent account takeover attempts and fraudulent activities. It integrates with authentication systems to pause login flows and assess risks, using machine learning and a vast identity database to determine whether to allow, deny, or challenge users with multi-factor authentication. The solution evaluates user data points such as IP address, device information, and historical behavior to make accurate decisions in milliseconds, aiming to stop fraudulent access while minimizing friction for legitimate users.
