Early-detection analytics can redefine the odds of discovering banking application fraud. ARIC Risk Hub’s holistic individual and peer profiling means banks can now detect and prevent application fraud accurately.

Significantly extend your analytical modeling capability to monitor application data from all angles and empower risk teams to analyze multiple events simultaneously, whether they are processed in real time, near-real time, or in batch.

Using behavioral profile information from historically scheduled runs and graph algorithms, our Holistic Graph Analytics models assess risk levels, detecting networks and commonalities to identify relationships and anomalous behavior.

Discover how our unique invention of Adaptive Behavioral Analytics and Machine Learning assists in detecting application fraud anomalies, at each stage of the application process, using all of the data available to you.