Abstract: Methods and systems are disclosed for providing fraudulent transaction processes. In one embodiment, a method is disclosed for performing fraudulent transaction processes that may include receiving an indication that a payment transaction has been identified as potentially fraudulent, the payment transaction involving a payment account associated with a user. The method may also include receiving a candidate voice print and comparing the candidate voice print to a user voice print that is associated with the payment account. The method may further include determining, based on the comparison, whether the candidate voice print matches the user voice print, and providing an indication whether the candidate voice print matches the user voice print, the indication configured for use to determine whether to approve or deny the payment transaction.

Abstract: Systems and methods are disclosed for determining one or more credit lines based on statistical approximations of credit line optimization models. By approximating the results of the optimization model, the disclosed embodiments may provide real-time account level credit line determinations based on fewer criteria than used in the optimization models. Other aspects of the disclosed embodiments are described herein.

Abstract: Methods and systems are disclosed for providing fraudulent transaction processes. In one embodiment, a method is disclosed for performing fraudulent transaction processes that may include receiving an indication that a payment transaction has been identified as potentially fraudulent, the payment transaction involving a payment account associated with a user. The method may also include receiving a candidate voice print and comparing the candidate voice print to a user voice print that is associated with the payment account. The method may further include determining, based on the comparison, whether the candidate voice print matches the user voice print, and providing an indication whether the candidate voice print matches the user voice print, the indication configured for use to determine whether to approve or deny the payment transaction.

Abstract: Methods and systems are disclosed for providing fraudulent transaction processes. In one embodiment, a method is disclosed for performing fraudulent transaction processes that may include receiving an indication that a payment transaction has been identified as potentially fraudulent, the payment transaction involving a payment account associated with a user. The method may also include receiving a candidate voice print and comparing the candidate voice print to a user voice print that is associated with the payment account. The method may further include determining, based on the comparison, whether the candidate voice print matches the user voice print, and providing an indication whether the candidate voice print matches the user voice print, the indication configured for use to determine whether to approve or deny the payment transaction.

Abstract: Systems and methods are disclosed for determining one or more credit lines based on statistical approximations of credit line optimization models. By approximating the results of the optimization model, the disclosed embodiments may provide real-time account level credit line determinations based on fewer criteria than used in the optimization models. Other aspects of the disclosed embodiments are described herein.

Abstract: Systems and methods are disclosed for determining one or more credit lines based on statistical approximations of credit line optimization models. By approximating the results of the optimization model, the disclosed embodiments may provide real-time account level credit line determinations based on fewer criteria than used in the optimization models. Other aspects of the disclosed embodiments are described herein.

Abstract: Systems and methods are disclosed for determining one or more credit lines based on statistical approximations of credit line optimization models. By approximating the results of the optimization model, the disclosed embodiments may provide real-time account level credit line determinations based on fewer criteria than used in the optimization models. Other aspects of the disclosed embodiments are described herein.

Abstract: Methods and systems are disclosed for providing fraudulent transaction processes. In one embodiment, a method is disclosed for performing fraudulent transaction processes that may include receiving an indication that a payment transaction has been identified as potentially fraudulent, the payment transaction involving a payment account associated with a user. The method may also include receiving a candidate voice print and comparing the candidate voice print to a user voice print that is associated with the payment account. The method may further include determining, based on the comparison, whether the candidate voice print matches the user voice print, and providing an indication whether the candidate voice print matches the user voice print, the indication configured for use to determine whether to approve or deny the payment transaction.

Abstract: Methods and systems are disclosed for providing fraudulent transaction processes. In one embodiment, a method is disclosed for performing fraudulent transaction processes that may include receiving an indication that a payment transaction has been identified as potentially fraudulent, the payment transaction involving a payment account associated with a user. The method may also include receiving a candidate voice print and comparing the candidate voice print to a user voice print that is associated with the payment account. The method may further include determining, based on the comparison, whether the candidate voice print matches the user voice print, and providing an indication whether the candidate voice print matches the user voice print, the indication configured for use to determine whether to approve or deny the payment transaction.

Abstract: Methods and systems are disclosed for providing fraudulent transaction processes. In one embodiment, a method is disclosed for performing fraudulent transaction processes that may include receiving an indication that a payment transaction has been identified as potentially fraudulent, the payment transaction involving a payment account associated with a user. The method may also include receiving a candidate voice print and comparing the candidate voice print to a user voice print that is associated with the payment account. The method may further include determining, based on the comparison, whether the candidate voice print matches the user voice print, and providing an indication whether the candidate voice print matches the user voice print, the indication configured for use to determine whether to approve or deny the payment transaction.