CPC G06Q 20/4016 (2013.01) [G06N 20/00 (2019.01); G06Q 20/24 (2013.01); G06Q 20/3224 (2013.01); G06Q 20/409 (2013.01)] | 20 Claims |
1. A computer-implemented method for reducing false positive electronic fraud alerts, the method comprising:
receiving data detailing a first financial transaction associated with a customer;
generating, by a rules-based engine, based at least in part on the data detailing the first financial transaction, an electronic fraud alert;
transmitting the electronic fraud alert to a device of the customer;
receiving customer feedback from the device of the customer, the customer feedback indicating that the electronic fraud alert was a false positive;
generating, by one or more processors and based at least in part on the data detailing the first financial transaction, an updated rules-based engine to facilitate reducing an amount of false positive fraud alerts generated in the future, wherein generating the updated rules-based engine comprises:
providing, to a trained machine learning program, input data associated with the first financial transaction;
determining, based on an output of the machine learning program, a reason why the false positive was generated; and
modifying a first rule of the rules-based engine, based on the determined reason why the false positive was generated; and
evaluating, by the one or more processors using the updated rules-based engine, a second financial transaction.
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