Abstract: Devices, systems, and methods are provided for rotating cryptography secrets in data hashing. A method may include generating, based on a hashing technique, first obfuscated data using first data and a first version of a secret, and generating first metadata associated with the first obfuscated data, the first metadata indicative of the first version of the secret. The method may include determining a second version of the secret based on the first metadata. The method may include generating, based on the hashing technique, second obfuscated data using the first obfuscated data and the second version of the secret, and generating second metadata associated with the second obfuscated data, the second metadata indicative of the second version of the secret.

Abstract: As described herein, a system, method, and computer program are provided for a multi-dimensional credit worthiness evaluation. Financial transaction data is accessed for an individual. A plurality of dimensions of credit worthiness is computed for the individual, using the financial transaction data. At least one machine learning model is trained, using the financial transaction data and the plurality of dimensions of credit worthiness as training data, to make at least one financial-related prediction for additional individuals. The at least one machine learning model is output for use in making the at least one financial-related prediction for the one or more of the additional individuals.

Abstract: As described herein, a system, method, and computer program are provided for quantifying the primacy of a financial relation for financial institution account management. An account of a customer with a financial institution is identified. Transactional-related information for the account is accessed. A holistic primacy score is computed for the account, using the transactional-related information, where the holistic primacy score holistically quantifies a primacy relation of the customer with the financial institution. At least one action is caused to be performed in association with the account, based on the holistic primacy score.

Abstract: As described herein, a system, method, and computer program are provided for financial information enrichment. Individual financial transactions of consumers are identified, each individual financial transaction enhanced with at least one transaction-based categorization. Series' of the financial transactions are identified, each series' enhanced with at least one series-based categorization. The individual financial transactions are processed utilizing a first sequence of functions to enhance one or more of the individual financial transactions with at least one additional transaction-based categorization. The series' of financial transactions are processed utilizing a second sequence of functions to enhance one or more of the series' of financial transactions with at least one additional series-based categorization.

Abstract: Systems, methods, and computer-readable media are disclosed for the dynamic, real-time detection and clustering of emerging fraud patterns. Example methods may include determining an expected account registration volume and an actual account registration volume during a same period of time. Certain methods may include determining an abnormal fluctuation in account registration volume based on a difference between the expected account registration volume and the actual account registration volume during the period of time. Certain methods may include generating subsets of account registrations received during the period of time based on one or more shared characteristics. Certain methods may include generating an account cluster based on the subsets of account registrations. Certain methods may include sending the account cluster to a bulk closure system.

Abstract: A data processing system, implemented as programming on a suitably-programmed device includes a data input module that supplies a data input; and a wavelet transformation and compression module coupled to the data input module. The wavelet transformation and compression module receives a representation of the input data.

Abstract: A data processing system, implemented as programming on a suitably-programmed device includes a data input module that supplies a data input; and a wavelet transformation and compression module coupled to the data input module. The wavelet transformation and compression module receives a representation of the input data.

Abstract: A FPGA device that includes a plurality of programmable logic blocks connected to each other through interconnect resources, one or more sets of registers connected to the interconnect resources for configuring the programmable logic blocks. Additional logic is provided with the registers for selecting an interconnect/logic block testing mode thereby enabling a rapid interconnect/logic testing.