Abstract: A co-processing fraud risk scoring system for scoring electronic payment transactions for potential fraud is described. Additionally, a method and a computer-readable storage medium for scoring electronic payment transactions for potential fraud are described.

Abstract: Examples of the disclosure enable a financial transaction to be automatically confirmed based on a similarity of factors between financial transactions. A previous case action may be used for a decision of confirming a financial transaction. A first request for authorization of a first financial transaction is received from a financial transaction processing computing device. One or more parameters associated with a cardholder account are identified, and it is determined, at a transaction score device, whether to approve the first request for authorization based on the one or more identified parameters. On condition that the first request for authorization is approved, the one or more parameters are updated based on one or more first factors associated with the first financial transaction such that a second request for authorization of a second financial transaction is analyzable based on the one or more updated parameters.

Abstract: Embodiments of the disclosure enable a user to manage funds for financial transactions. In some embodiments, a request for authorization of a financial transaction associated with one or more factors including a transaction amount is received from a financial transaction processing computing device, a first purse associated with a cardholder account that is associated with one or more purses is identified based on the one or more first factors, a plurality of parameters associated with the first purse including a first purse priority and a first purse balance are identified, the first purse balance is compared with the transaction amount to determine a difference between the first purse balance and the transaction amount, and it is determined whether to approve the request for authorization based on the first purse priority and the difference between the first purse balance and the transaction amount.

Abstract: A co-processing fraud risk scoring system for scoring electronic payment transactions for potential fraud is described. Additionally, a method and a computer-readable storage medium for scoring electronic payment transactions for potential fraud are described.

Abstract: A co-processing fraud risk scoring system for scoring electronic payment transactions for potential fraud is described. Additionally, a method and a computer-readable storage medium for scoring electronic payment transactions for potential fraud are described.

Abstract: Systems and methods are provided for implementing at least one fraud prevention rule associated with a detected fraud condition. An example method includes detecting a fraud condition associated with a source merchant, where the fraud condition includes multiple suspect transactions and where each one of suspect transactions has a parameter that is substantially consistent with the other ones of the suspect transactions. The method also includes identifying a like merchant based on a proximity of the like merchant to the source merchant, and determining a travel time between the source merchant and the like merchant. The method further includes deploying at least one fraud prevention rule at the like merchant during a fraud risk interval, where the at least one fraud prevention rule is based on the parameter of at least one of the suspect transactions and where the fraud risk interval is based on the determined travel time.

Abstract: A network builder (NB) computing device for building a peer network used to authenticate suspect payment transactions and thereby improve data security over a payment network is provided. The NB computing device includes a processor in communication with a memory. The processor retrieves candidate historical transaction data for a candidate cardholder including a first plurality of historical data elements and retrieves model historical transaction data for a plurality of model cardholders including a second plurality of historical data elements. The model historical transaction data includes previously authenticated and authorized payment transactions. The processor compares the candidate historical transaction data to the model historical transaction data, identifies matching historical data elements, and builds a first peer network between the candidate cardholder and a first set of model cardholders associated with the matching historical data elements. The first peer network is stored in the memory.

Abstract: Systems and methods are provided for use in evaluating automated clearing house (ACH) transactions, in connection with determining whether to post or return the transactions. One exemplary method includes receiving, at a computing device, a batch file including multiple ACH transactions and segregating, by the computing device, each of the ACH transactions. The method then includes, for each of the multiple segregated transactions, evaluating the transaction, by the computing device, relative to a first rule and directing, by the computing device, the transaction to a workbasket for human review when the transaction violates the first rule whereby the ACH transaction is submitted for human review rather than returning the ACH transaction upon the violation of the first rule.

Abstract: Examples of the disclosure enable a financial transaction to be automatically confirmed based on a similarity of factors between financial transactions. A previous case action may be used for a decision of confirming a financial transaction. A first request for authorization of a first financial transaction is received from a financial transaction processing computing device. One or more parameters associated with a cardholder account are identified, and it is determined, at a transaction score device, whether to approve the first request for authorization based on the one or more identified parameters. On condition that the first request for authorization is approved, the one or more parameters are updated based on one or more first factors associated with the first financial transaction such that a second request for authorization of a second financial transaction is analyzable based on the one or more updated parameters.

Abstract: Embodiments of the disclosure enable a user to manage funds for financial transactions. In some embodiments, a request for authorization of a financial transaction associated with one or more factors including a transaction amount is received from a financial transaction processing computing device, a first purse associated with a cardholder account that is associated with one or more purses is identified based on the one or more first factors, a plurality of parameters associated with the first purse including a first purse priority and a first purse balance are identified, the first purse balance is compared with the transaction amount to determine a difference between the first purse balance and the transaction amount, and it is determined whether to approve the request for authorization based on the first purse priority and the difference between the first purse balance and the transaction amount.

Abstract: A co-processing fraud risk scoring system for scoring electronic payment transactions for potential fraud is described. Additionally, a method and a computer-readable storage medium for scoring electronic payment transactions for potential fraud are described.