Anomaly Detection with SuperTokens

Automated attacks pose significant threats to web applications, with risks ranging from fraudulent transactions to data theft. SuperTokens' new Attack Prevention Suite provides a comprehensive anomaly detection toolset designed to safeguard against these evolving threats. This suite identifies unusual user activities by monitoring deviations from baseline behaviors to preemptively prevent account breaches. Key features include detection mechanisms for brute force attacks, where multiple login attempts are tracked and blocked; password breach detection, which alerts users to compromised passwords; and impossible travel detection, which flags logins from geographically distant locations. Additional capabilities include bot detection to thwart automated credential stuffing, suspicious IP detection to prevent access from high-risk sources, and new device detection to identify unauthorized login attempts. SuperTokens also offers device count tracking to monitor unusual usage patterns and requester detection to identify spoofed device details. By addressing these diverse threat vectors, SuperTokens enhances security while ensuring seamless access for legitimate users, underscoring the importance of an adaptable defense in the face of sophisticated cyber threats.