FRAUD DETECTION SYSTEMS AND METHODS

摘要

Systems and methods disclosed herein related to a fraud detection system that receives data from multiple sources and normalizes the data to create transaction data using overlapping data from the multiple sources. Fraud analysis is performed using a probabilistic approach to alert generation, wherein alerts are only sent to customers when the probability of fraud exceeds a threshold. As a result, false positives are avoided.

主权项

1. A computer-implemented method for removing personally identifiable data comprising:
receiving, by a computer of a fraud detection system, financial transaction data associated with one or more financial transactions from a server of a first financial institution, wherein the server records the financial transaction data in a non-transitory memory; applying, by the computer, a hashing algorithm using a first hash key to personally identifiable data in the financial activity data received from the banking server associated with the first financial institution, thereby generating a first set of hashed data representing the personally identifiable information from the first financial institution; generating, by the computer, a first reverse hashing map, wherein the first reverse hashing map explains how to restore the personally identifiable information of the first set of hashed data; transmitting, by the computer, the first reverse hashing map to the first financial institution; and deleting, by the computer, the first reverse hashing map and the first hash key.