Abstract: A data management computing system for tracking data protection compliance of a plurality of entities using a data management (“DM”) server is provided. The DM server includes at least one processor programmed to: (i) receive, from a requesting entity, a personally identifying information (“PII”) consent request for access to a requested PII set of a user, (ii) determine at least one PII item associated with a reason code, (iii) compare the at least one PII item to the requested PII set, (iv) generate a consent recommendation, (v) transmit the consent recommendation to the user, (vi) receive a response indicating user consent, (vii) transmit, to the requesting entity, a notification indicating the user consent for the requesting entity to retrieve the at least one PII item from a third-party PII storage entity, and (viii) update a user profile to track the requesting entity with the at least one PII item.

Abstract: A method includes receiving a first ACH (automated clearing house) transaction at a local (domestic) sponsor bank. The first ACH transaction originates from a domestic originating bank. In response to the first ACH transaction, a second ACH transaction is executed from the local sponsor bank to a foreign sponsor bank. The second ACH transaction includes addressing messaging. The addressing messaging indicates a receiving bank in the same country as the foreign sponsor bank. The receiving bank is designated to receive a third ACH transaction from the foreign sponsor bank to benefit a recipient's account at the receiving bank. The addressing messaging contains an account number to identify the recipient's account.

Abstract: The invention provides systems, methods and computer program products for securing electronic transactions and users of electronic transaction services from phishing attacks by malicious attackers and fraudsters. A terminal device receives a first data communication comprising an OTP associated with a requested electronic transaction, and identifies a validity period associated with the OTP. The terminal device responds to detection of a second data communication between the terminal device and a remote entity during the identified validity period, by extracting content from the second data communication. The extracted content is analyzed and a risk decision is generated based on output of the analysis of the extracted content. The risk decision determines whether the remote entity comprises, or is controlled by, a malicious attacker.

Abstract: A method for generating and provisioning payment credentials to a mobile device lacking a secure element includes: generating a card profile associated with a payment account, wherein the card profile includes at least payment credentials corresponding to the associated payment account and a profile identifier; provisioning, to a mobile device lacking a secure element, the generated card profile; receiving, from the mobile device, a key request, wherein the key request includes at least a mobile identification number (PIN) and the profile identifier; using the mobile PIN; generating a single use key, wherein the single use key includes at least the profile identifier, an application transaction counter, and a generating key for use in generating a payment cryptogram valid for a single financial transaction; and transmitting the generated single use key to the mobile device.

Abstract: A method for preventing an unauthorized transaction indicative of scalping includes: receiving transaction data for a first payment transaction including one or more product identifiers associated with one or more products purchased in the first payment transaction and consumer identification data; updating a consumer profile based on the one or more product identifiers, wherein the consumer profile is identified using the consumer identification data; receiving a transaction message for a second payment transaction including at least one product identifier included in the one or more product identifiers and at least one consumer data value that is also included in the consumer profile; determining a suspicion score for the consumer profile above a predetermined threshold value; and transmitting an authorization response message for the second payment transaction including a response code indicative of rejection of the second payment transaction.

Abstract: A system for enabling communication between blockchains on heterogeneous blockchain networks. The system can include a sending blockchain network comprised of a sending blockchain that includes a plurality of blocks, each block including a block header and one or more transaction values associated with an identification request transmitted by the sending blockchain. The system can include a directory service node configured to receive the identification request from the sending blockchain, and identify a receiving blockchain, which forms part of a receiving blockchain network. The system can include an identity service node configured to receive a trust request from the directory service node to determine whether a valid trust certificate is available for the receiving blockchain, and enable communication between the sending blockchain and the receiving blockchain, when the valid trust certificate is determined to be available.

Abstract: Siamese neural networks (SNN) are configured to detect differences between financial transactions for multiple financial institutions and transactions for a target party. A first neural network of the SNN tracks transactions (target transactions) for a particular customer or financial institution over time and provides a target output vector. Similarly, a second neural network of the SNN tracks transactions (baseline transactions) for all or a plurality of financial institutions (e.g., within a region) over the same period of time and provides a baseline output vector. The transactions for all or a plurality of financial institutions act as a baseline of transactions against which potentially fraudulent or money laundering activity may be compared. Because Siamese neural networks account for temporal changes based on the baseline of transactions, sudden changes in target transactions will only trigger an alarm if such changes (e.g., deviations or drifts) are relative to a baseline of transactions.

Abstract: Embodiments provide methods, and server systems for enhancing checkout experience of an e-commerce transaction. A method includes receiving, by a server system associated with a payment network, a pre-authentication request signal for a prospective e-commerce transaction for a payment card of user. The pre-authentication request signal includes a time data for an expected transaction time, a transaction amount data, a payment card data and at least one transaction identifier data. The method includes electronically facilitating a pre-authentication of the prospective e-commerce transaction based at least on performing a multi-factor pre-authentication. Upon successful pre-authentication, the method includes storing a pre-authenticated transaction data. The method includes sending a notification signal of successful pre-authentication to a user device.

Abstract: An adaptive authentication (AA) computer device used for improved payment transaction authentication services is provided. The AA computer device includes at least one processor in communication with at least one memory device and is configured to retrieve historical transaction data and authentication types for each historical transaction. The AA computer device is also configured to generate a model associating each of the authentication types with a corresponding set of values for transaction parameters. The AA computer device is further configured to receive pending transaction data including a cardholder identifier of a first cardholder, a merchant identifier, and a transaction amount. The AA computer device is further configured to determine an authentication type by applying the model to the transaction parameters derived from the pending transaction and transmit to the first cardholder an authentication request of the authentication type.

Abstract: Systems and methods are provided for identifying an account via a hash key specific to the account and presented to a third party, in connection with a network interaction. One example method includes receiving, by a computing device, from the third party, the hash key in connection with the network interaction, determining a primary account number (PAN) for the account based on the hash key, and identifying an issuer of the account based on the determined PAN. The method also includes transmitting a verification request to the issuer, to verify details of the account, and receiving a code from the issuer indicative of the verification. The method further includes intercepting an authorization request for the network interaction based on the authorization request including the hash key and, in response to the authorization request further including said code, directing the authorization request to the issuer.

Abstract: A method and system are disclosed for transferring digital tokens to and from a physical payment card. The method includes: receiving, on a processing server, a plurality of digital tokens issued from a central bank; and transferring, from the processing server, the plurality of digital tokens to the physical payment card, the physical payment card configured to be used with a point of sale (POS).

Abstract: A method for carrying out a wireless transaction for authorization through a transaction processing system between a first computing device and a second computing device is described. The first computing device establishes a secure network connection with a third computing device. The first computing device initiates the wireless transaction with the second computing device. The first computing device provides information to perform a security protocol for the transaction to the third computing device over the secure connection. The performance of the security protocol includes determination of a secure result. The first computing device receives a dummy secure result from the third computing device, and performs the wireless transaction with the second computing device using the dummy secure result. The third computing device prepares a true secure result for the wireless transaction. The dummy secure result may be used to reconcile the wireless transaction with the true secure result.

Abstract: Embodiments provide methods and systems for facilitating scheduled payment transactions to users via an application provided by the server system, the application available on the user device. The method performed by the server system includes receiving a transaction request message from the user device, the transaction request message includes scheduled transaction instruction provided by the user in natural language format. The method includes authenticating the user based on a plurality of user authentication factors received from the user at pre-defined time intervals. In an embodiment, the server system is configured to train a data model using ML algorithms by learning the plurality of user authentication factors based on which the user is automatically authenticated by the server system. Upon successful authentication, the method includes parsing the transaction request message to determine a scheduled transaction instruction.

Abstract: A computer-implemented method for authenticating an online user with an access control server (ACS) is provided.

Abstract: A system and computer-implemented method for depersonalizing financial transaction data being switched by a switching service (e.g., an interchange network) between an acquirer and an issuer located in different countries. The acquirer's host sends a personalized transaction to a depersonalization service via an independent communications channel. The service depersonalizes the transaction and sends it back to the acquirer's host, and also sends a reverse depersonalization dictionary to the issuer's host. The acquirer's host sends the depersonalized transaction to the acquirer's interface, which sends it via the switching service to the issuer's interface, which sends it to the issuer's host. The issuer's host uses the dictionary to repersonalize the transaction, processes the repersonalized transaction, and sends a response code to the acquirer's host.

Abstract: A method and system for awarding blocks in a blockchain for mining based on commitment to a blockchain network. The method includes receiving, by a receiver of a processing server, a plurality of mining bids, where each mining bid is submitted by a blockchain node in a blockchain network and includes at least a declaration, the declaration being a period of time in which the blockchain node agrees to defer spending an earned mining fee; selecting, by a processor of the processing server, a winning bid of the plurality of mining bids based on at least the declaration included in each of the plurality of mining bids; and transmitting, by a transmitter of the processing server, a notification message to a winning blockchain node that submitted the winning bid.

Abstract: A method for fraud modeling based on shared computing device usage includes: storing transaction data entries, each including a transaction date and/or time, account identifier, and device identifier associated with a computing device; receiving a transaction message for a payment transaction, the transaction message including a specific device identifier, primary account number, and additional transaction data; identifying transaction data entries where the included device identifier corresponds to the specific device identifier; determining a fraud risk rating based on a number of unique account identifiers included in the identified transaction data entries over a predetermined period of time; and transmitting the transaction message and the determined fraud risk rating to a financial institution associated with the primary account number.

Abstract: A system for payment routing programmed to: receive a payment transaction message relating to a putative transaction, the payment transaction message containing putative transaction data identifying an accountholder and a transaction amount corresponding to the putative transaction; input historical transaction data for the accountholder and at least a portion of the transaction amount to a scaled score algorithm to generate scaled scores for corresponding potential settlement dates, each of the scaled scores representing the likelihood of settlement of the putative transaction from an account of the accountholder on the corresponding one of the potential settlement dates; retrieve, from a financial institution corresponding to the account, actual account balances for the account on the corresponding potential settlement dates; and retrain the scaled score algorithm using the actual account balances.

Abstract: A system for payment routing programmed to: receive a payment transaction message relating to a putative transaction, the payment transaction message containing putative transaction data identifying an accountholder and a transaction amount corresponding to the putative transaction; input historical transaction data for the accountholder and at least a portion of the transaction amount to a scaled score algorithm to generate scaled scores, each of the scaled scores representing the likelihood of settlement of the putative transaction on a corresponding date and payment rail; output the scaled scores to a merchant in response to the payment transaction message; receive, from the merchant and in response to the output, feedback data for the putative transaction, the feedback data including a date of attempted payment processing for the putative transaction and an indicator of whether the attempted payment processing was completed; and retrain the scaled score algorithm using the feedback data.

Abstract: A system for payment routing programmed to: receive a payment transaction message relating to a putative transaction, the payment transaction message containing putative transaction data identifying an account of an accountholder and a transaction amount corresponding to the putative transaction; input at least some of the putative transaction data to a scaled score algorithm to generate a scaled score representing the likelihood of settlement of the putative payment transaction on a date, the scaled score algorithm including a plurality of components each respectively outputting a value and the scaled score being based on the plurality of values; generate metadata regarding the scaled score by applying a plurality of contribution rules to the values, the metadata comprising significance indicators for the components with respect to the generation of the scaled score; and output the scaled score and the metadata regarding the scaled score in response to the payment transaction message.