LoginRadius Adaptive MFA provides a risk-based approach to multi-factor authentication by analyzing contextual data such as device recognition, location anomalies, time of day, and user behavior to determine the risk level of login attempts. It offers various authentication factors including email OTP, SMS OTP, TOTP, push notifications, security questions, and passkeys, with the ability to customize and scale according to specific use cases. The solution leverages machine learning and AI to enhance security by prompting additional verification only for high-risk logins, thereby improving user experience while maintaining strong security measures. It supports features like mandatory MFA, optional MFA, step-up authentication, and event-based triggers, designed to balance security and usability for organizations.
