Bank of America Corporation
MACHINE LEARNING BASED THIRD PARTY ENTITY MODELING FOR PREEMPTIVE USER INTERACTIONS FOR PREDICTIVE EXPOSURE ALERTING

Abstract:

An electronic communication security system is typically configured for continuously tracking and monitoring user activity associated with a user, identifying a trigger based on continuously tracking and monitoring the user activity, wherein identifying the trigger is based on identifying that the user activity meets one or more conditions, determining initiation of an interaction between the user and a resource entity based on identifying the trigger, communicating with back-end systems to extract information associated with the resource entity associated with the interaction, wherein the information comprises an output that is generated by one or more machine learning models, generating exposure characteristics for the interaction based on the output associated with the resource entity and user data associated with the user, wherein the exposure characteristics are unique to the interaction and the user, and in response to generating the exposure characteristics, transmitting the exposure characteristics to a user device.