Patent ID: 11922422
Assignee: VISA INTERNATIONAL SERVICE ASSOCIATION
Field: IT methods for management (Electrical engineering)
Classification: CPC G | IPC G

Claim 11:
12. A system for determining fraud, comprising at least one processor programmed or configured to:
receive, from a merchant system, a transaction request associated with a first payment transaction between a merchant and a user, the first payment transaction having a time period between transaction initiation and transaction fulfillment;
at a first time during the time period, generate, with a machine-learning model, a first risk score by inputting transaction data of the transaction request and a first set of historical transaction data associated with payment transactions of the user received and processed prior to the transaction request into the machine-learning model, the machine-learning model comprising a plurality of recurrent neural network layers comprising a forward recurrent neural network layer in which data flows in a positive direction and a backwards neural network layer in which data flows in a negative direction, the first risk score not satisfying a first threshold;
process a transaction request approval based on the first risk score not satisfying the first threshold;
at a second time during the time period and after the first time, receive, from the merchant system or a separate merchant system, a risk score request associated with the first payment transaction, wherein the risk score request is received after the transaction request has been approved and prior to the transaction fulfillment of the first payment transaction;
generate, with the machine-learning model, a second risk score by inputting a second set of transaction data received after the first risk score is determined into the machine-learning model, the second set of transaction data comprising transaction data associated with at least one payment transaction initiated after the first payment transaction is initiated, the second risk score satisfying a second threshold;
automatically classify the first payment transaction as potentially fraudulent in response to determining that the second risk score satisfies the second threshold; and
in response to classifying the first payment transaction as potentially fraudulent, at least one of: automatically cause the first payment transaction to be cancelled, automatically cause fulfillment of a product or service associated with the first payment transaction to be delayed or revoked, or automatically communicate a verification request to a device associated with the user to cause the user to indicate whether the first payment transaction is fraudulent.