UTILIZING MACHINE LEARNING AND TRUSTED TRANSACTION CARD LOCATIONS TO GENERATE A GEOGRAPHICAL MAP OF THE TRUSTED TRANSACTION CARDS

摘要

A device may receive, from client devices of users, user data identifying the users, client device data identifying the client devices, and transaction card data identifying transaction cards, and may receive transaction account data identifying transaction accounts. The device may process the user data, the client device data, the transaction card data, and the transaction account data, with a machine learning model, to determine trust scores for the transaction cards, and may identify trusted transaction cards based on the trust scores. The device may receive, from trusted client devices associated with the trusted transaction cards, location data identifying locations of the trusted client devices and communication data indicating communications between the trusted transaction cards and the trusted client devices. The device may generate a card mapping for the trusted transaction cards based on the location data and the communication data, and may perform actions based on the card mapping.