Embedding the capability to track user interactions with an application and analyzing user behavior to detect and prevent fraud

摘要

Techniques for fraud detection based on user behavior that monitor and analyze user interactions with an application executing on an end user device. The techniques include monitoring behavior of an end user device user by tracking user interactions with the application executing on the end user device, and generating event records describing the user interactions and the times at which they occurred. The event records are sent to an analytics engine that uses the event records to perform a fraud detection operation by comparing the user interactions described in the event records to an expected pattern of user interactions with the application, and detecting anomalous user behavior indicative of fraud in response to the user interactions described in the event records not matching the expected pattern of user interactions with the application.