User Behaviour Analytics

User behavior as security component

Anomalies in user behavior can be detected with user behavior analytics to prevent and avert unauthorized data access.

How user behavior can contribute to data security

User behavior analytics helps track, collect, and evaluate user data. This data is accumulated when digital services are used, and it can be processed by monitoring systems. With the help of user behavior analytics, specific patterns in user data, which indicate either normal or abnormal behavior, can be detected. Nevis makes it possible to combine leading anomaly detection technologies on a single platform and make them available as a central service for all applications.

Information like location, device stats, and the current time is collected and analyzed alongside user behavior – like keystroke dynamics, haptics, and mouse movements. These dynamic aspects of user identity can be compared with earlier interactions to assess the risk. Analysis already starts on the login page and continues until the end of the session.

Benefits of user behavior analytics

Digital services are secured through mechanisms, which continuously assess risks and guarantee the best protection without diminishing the user experience. Session hijacking can be detected and then trigger mechanisms for a step-up authentication. This lowers expenses for manual security checks, like for bank payments.

• Increased security and consistent user friendliness 
• Automatic step-up authentication with increased risk 
• Reduced costs thanks to the elimination of manual security checks 
• Effective response to customer questions about online access

Which verticals and industries benefit from user behavior analytics?

User behavior analytics has become widely established in e-banking and mobile banking. Customer portals allow passwordless login based on behavior analytics. Only higher value transactions trigger additional authentication factors. User behavior analytics is also used to identify mobile device users.