Mastercard International Incorporated

Johan Gerber

Christopher John Merz

Mark Wiesman

Douglas Van Horn

David J Senci

Kyle Williams

John D Chisholm

Michelle L Hafner

Steve E Hubbard

Janet Marie Smith

Christian P Tomasofsky

Luis Felipe De Almeida Ferreira Da Silva

Brenda Renee Hopkins

Peter Goldenberg

Richard Smith

Robert Alexander Matteson

Clara Salazar

Mark B Wiesman

Luis Felipe Da Silva

Rachael Vahle Cordero

Janet Smith

Michelle Hafner

Matthew Wickman

A computer-implemented method for determining a level of confidence that a payment transaction is not fraudulent is provided. The method is implemented using an assurance exchange (AE) computer device in communication with a memory. The method includes receiving authentication data associated with a candidate payment transaction being conducted by a cardholder via a website associated with a merchant from the merchant, storing the authentication data, receiving an authorization request message for the candidate payment transaction from a payment processor, retrieving the authentication data for the candidate payment transaction based on the authorization request message, and calculating an assurance level score based on the authentication data and the authorization request message. The assurance level score represents a level of confidence that the candidate payment transaction is not fraudulent. The method also includes transmitting the authorization request message including the assurance level score to an issuer processor.

System and methods for enhanced approval of a payment transaction

A computer-implemented method for performing a stand-in payment authorization is provided. The method is implemented using a stand-in payment authorization (SPA) computing device. The method includes storing account numbers of predesignated cardholders in an account file that are designated to receive stand-in authorization by the SPA computing device. The method also includes receiving an authorization request data signal redirected to the SPA computing device after the authorization request data signal was submitted to an unresponsive issuing bank computing device. The method further includes generating an authorization response data signal based at least upon a comparison of the account numbers stored in the account file to a candidate account number. The method further includes transmitting the authorization response data signal.

Systems and methods for providing stand-in authorization

A transaction message processing server is configured to receive an authorization request message from a sender computing device, the authorization request message associated with a transaction. The server is also configured to detect a decision data element in an authentication outcome data field of the authorization request message, and interpret the decision data element as an indicator that the transaction is highly authenticated. The server is further configured to retrieve a reason code that identifies the transaction as a highly authenticated transaction, and embed the reason code into the authorization request message to form an enhanced authorization request message. The server is still further configured to transmit the enhanced authorization request message including the reason code to an issuer computing device, wherein the enhanced authorization request message is configured to enable the issuer computing device to bypass at least one issuer authentication process.

Systems and methods for expedited processing of authenticated computer messages

A dispute scoring computing device for generating chargeback dispute scores is provided. The dispute scoring computing device extracts historical transaction data and account profile data for a plurality of transactions associated with an account, and generates a chargeback dispute prediction model for the account based on the extracted data. The dispute scoring computing device further receives a candidate chargeback for a transaction initiated with a merchant using the account, extracts transaction data from the candidate chargeback, and determines, using the generated chargeback dispute prediction model, a chargeback dispute score indicating a likelihood that the candidate chargeback, if disputed by the merchant, would result favorably for the merchant.

Systems and methods for scoring chargeback disputes

A computing device for providing risk-based decisioning to a merchant during payment card transactions is provided herein. The computing device is programmed to receive, from the merchant, transaction data associated with a payment card transaction. The computing device is further programmed to compute a risk score for the payment card transaction based at least in part on the transaction data and infrastructure data associated with the payment card transaction. The computing device is also programmed transmit an indication of acceptable risk to the merchant if the risk score satisfies a first pre-defined threshold. The computing device is still further programmed to initiate an authentication challenge of the suspect consumer if the risk score satisfies a second pre-defined threshold.

Systems and methods for providing risk based decisioning service to a merchant

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Wildwood, MO, United States of America

Johan Gerber