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Monitor user behavior patterns at all times, such as typing speed, mouse movements and touch dynamics to allow authentication of users throughout a session continuously

Identify deviations from normal behavior for every user to detect potential fraud attempts

Calculate risk scores based on behavioral patterns to quantify risk of suspicious activities for further investigation

Work in the background without interrupting your user experience, providing seamless security

Collect and analyze digital footprints of your users across multiple platforms to create detailed user profiles

Monitor IP addresses, device fingerprints and geolocation to detect anomalies and apply effective mitigations

Track online activities such as logins, sign ups, and browsing history to identify suspicious behaviors

Detect fraud rings and collusion by examining the relationships among users and devices

Detect shared accounts based on device and account relationships to flag user accounts at risk

Identify patterns and trends that are indicative of fraudulent behavior within a network

Flag connections that involve known fraudulent entities

Use historical data to identify risky trends and emerging threat patterns over time

Collect unique device attributes such as browser settings, active plugins and hardware configurations to create a fingerprint for each device

Identify and track the same user across multiple devices

Combine device and user behavior data to create a comprehensive and effective fingerprint for fraud detection