Abstract: Methods and systems for a browser extension system are disclosed. In some embodiments, a browser extension server includes a communication device configured to communicate with a first computing device executing a browser extension application and a web browser application and a second computing device executing an authentication application. The browser extension server further includes a memory storing instructions, and a processor configured to execute the instructions to perform operations. The operations may include receiving from the first computing device an indication of a financial service account associated with the first computing device, detecting a payment field in a web page provided by the computing device through the web browser application and, in response, generating a secure token mapped to the financial service account.

Abstract: A system can include, for example, a secure data module(s) configured to store sensitive data regarding the user(s), a synthetic dataset generating module(s) configured to generate the synthetic dataset based on the sensitive data, and a control module configured to receive a request from an application for a dataset related to the user(s), provide the request to the synthetic dataset generating module(s), receive the synthetic dataset from the synthetic dataset generating module(s), and provide the synthetic dataset to the application. The synthetic dataset generating module(s) can be configured to generate the synthetic dataset based on the dataset.

Abstract: Example embodiments of systems and methods for data transmission between a contactless card and a client application are provided. A card key may be generated using a master key and identification number. A first and second session key may be generated using the card key and portions of the. A cryptographic result including the counter may be generated using one or more cryptographic algorithms and the card key. A cryptogram may be generated using the first session key and encrypted using the second session key. The application may be transmit one or more messages to the first applet of the contactless card. The first applet may be configured to establish one or more communication paths to the second applet based on receipt of the one or more messages from the client device. The second applet may be deactivated by the first applet via the one or more communication paths.

Abstract: A device may receive, from account entity devices, sets of transaction data for transactions between merchants and customers, and may use a first machine learning model to assign the customers to clusters based on measures of similarity among the sets of transaction data. The device may determine travel-related data items in a set of transaction data, of the sets of transaction data, associated with a set of customers assigned to a particular cluster, and may use a second machine learning model to identify a travel experience that has a threshold likelihood of being of interest to the set of customers. The device may receive offers relating to the travel experience, and may provide, to customer devices associated with customers of the set of customers, travel offer packages that include at least one of the offers relating to the travel experience.

Abstract: Systems, methods, apparatuses, and computer-readable media for key recovery based on contactless card cryptograms. A server may receive, from an application, a request to recover a private key for a digital wallet, the request includes a first cryptogram generated by a contactless card. The server may decrypt the first cryptogram based on a key for the contactless card. The server may determine, based on the decryption, a unique identifier of the contactless card and a diversification factor associated with the digital wallet. The server may generate the private key based on the unique identifier and the diversification factor. The server may transmit the private key to the application via a network.

Abstract: In some implementations, a data cleaning platform may determine a respective entity key for each data record in a cleansed dataset based on a combination of fields, in each data record, that contain information that uniquely identifies an entity associated with a respective data record. The data cleaning platform may generate a delta dataset based on a set of uncleansed data records related to transactions that occurred after a time when the cleansed dataset was first generated. For example, in some implementations, each uncleansed data record in the delta dataset may be associated with a corresponding entity key based on the combination of fields. The data cleaning platform may perform a data join to update the cleansed dataset to include data records related to the transactions that occurred after the time when the cleansed dataset was first generated.

Abstract: Disclosed are examples related to building a customized data collection widget. Building of the customized data collection widget includes receiving a selection of several universal modules for inclusion in the widget. Each universal module of the selected several universal modules may include programming code that causes rendering of user-fillable data fields on a display, and a summary page including data requirements of the respective universal module. Based on the data requirements in a summary page of each respective universal module of the selected several universal modules, the selected several universal modules retrieved from a module repository may be combined in a customized data collection container stored in a composite repository. The selected customized data collection container may be combined with selected other data collection containers to form a uniquely identifiable, customized data collection widget. The customized data collection widget may be delivered to the composite repository.

Abstract: The present disclosure relates to systems and methods for using multicomputer data transferring to active contactless communication. In one example, such a system may include at least one memory storing instructions and at least one processor configured to execute the instructions to perform one or more operations, the operations including: receiving a transaction associated with a merchant on a list of merchants stored in the at least one memory; determining, based on the merchant, a remote server associated with the merchant; assembling a data packet including an identifier of the contactless card and an identifier of the transaction; transmitting the data packet to the determined server across one or more computer networks; receiving confirmation from the determined sever in response to the data packet; and transmitting the confirmation to a user device associated with the transaction.

Abstract: Systems and methods for modifying cryptographic token related data. In some aspects, the system accesses a unique cryptographic token associated with a user. The token is associated with a digital asset and is encrypted using a public key for the user. The system receives a request from the user to allow a third-party server to modify the asset. The request includes a public key for the third-party server. The system obtains and decrypts the asset using a private key for the user. The system encrypts the asset using the public key for the third-party server and transmits the asset and the public key for the user to the third-party server. The system receives, from the third-party server, an updated digital asset encrypted using the public key for the user. The system decrypts the updated asset using the private key for the user and replaces the asset with the updated asset.

Abstract: Disclosed herein are systems and methods for a system for authorizing proxy number token requests. The system may comprise a memory storing instructions and at least one processor configured to execute instructions to perform operations. These operations may comprise receiving a first request to use a proxy number token to complete a first action associated with a first entity; authorizing the first request; receiving a second request to use the proxy number token to complete a second action associated with a second entity; determining a modifiable relationship data binding associated with the first and second entities, the modifiable relationship data binding comprising multiple parameters; determining that the second request satisfies the parameters; and authorizing the second request based on a determination that the second request satisfies the parameters.

Abstract: Disclosed herein are system, method, and computer program product embodiments for using a third party dynamic QR code on a personal mobile device to complete a transaction at an ATM. The customer may stage a transaction using a mobile application on a mobile device. Upon the staged transaction being authenticated and approved, a machine-readable image may be transmitted to the mobile device. When the customer visits the ATM, the machine-readable image on the mobile device may be captured by the ATM and sent to an application server from the ATM. The application server may associate the ATM with the staged transaction that is staged using the mobile application, and send instructions to the ATM to dispense cash according to the staged transaction.

Abstract: Methods and systems for reducing network traffic between a service and client devices. In some aspects, the system receives a first data stream for a first type of communication between a service and a client device for a user. In response to determining that the first data stream includes an unresolved user query, the system determines that a second type of communication occurred between the service and the user. The system processes a second data stream for the second type of communication to determine that the second type of communication includes the unresolved user query and a service response to the unresolved user query. The system provides the unresolved user query and the service response to update a machine learning model used by the service to generate service responses to one or more user queries during a future communication of the first type.

Abstract: The disclosed embodiments include a mobile client device for automatically performing a mobile financial service function, including a memory storing software instructions, the software instructions including a mobile financial service application configured to perform financial service processes. The system may also include one or more processors configured to execute the software instructions to detect a physical action performed on the mobile client device, and determine a first financial service function to perform based on the detected physical action, wherein the first financial service function is a function provided by the mobile financial service application. The one or more processors may also determine whether verification of a user is required, verify the user if verification of the user is required, and automatically initiate the first financial service function.

Abstract: According to certain aspects of the disclosure, a computer-implemented method may be used for regulating vehicle stock. The method may include receiving one or more queries indicative of one or more characteristics of a vehicle for purchase by a user and determining based on the one or more queries indicative of the one or more characteristics of the vehicle, at least one vehicle available for purchase at a location of a merchant. The method may also include determining a quantity of the at least one vehicle purchased and assigning a value to the at least one vehicle based on the quantity of the at least one vehicle purchased and a quantity of received queries about the vehicle. The method may also include transmitting the value to the user, with a recommendation regarding the at least one vehicle available for purchase based on the value.

Abstract: Methods and systems are described for generating dynamic conversational responses using two-tier machine learning models. The dynamic conversational responses may be generated in real time and reflect the likely goals and/or intents of a user. The two-tier machine learning model may include a first tier that determines an intent cluster based on a feature input, and a second tier that determines a specific intent from the cluster.

Abstract: A non-transitory computer-readable storage medium storing computer-readable program code executable by a processor to receive a transaction request from a user interface, and receive a user-identifier from the user interface, and the user-identifier associated with a user. The program code may be executable to send a first non-audible sound signal to initiate a multifactor authentication process during a first interval, and send a second non-audible sound signal during a second interval, where the second non-audible sound signal comprises a predetermined frequency pattern, associated with the user. The program code may also be executable to receive a third non-audible sound signal, where the third non-audible sound signal, at least in part, is utilized to determine whether to complete the transaction request or not. The first non-audible sound signal, the second non-audible sound signal, and the third non-audible sound signal may comprise a frequency greater than 15 kHz.

Abstract: Various embodiments are generally directed to techniques for generating synthetic data with simulated handwriting, such as for training or evaluating a computer vision process, for instance. Some embodiments are particularly directed to creating simulated handwriting based on input text. For example, attributes of various glyphs included in typefaces stored in a vectorized graphics format may be randomized to produce randomized glyphs. The randomized glyphs may then be used to replace glyphs in an input text to generate simulated handwriting for the input text. In some embodiments, simulated handwriting may be overlaid with a background image to produce a synthetic handwriting image. In some such embodiments, noise may be introduced into the synthetic handwriting image to generate synthetic data comprising the simulated handwriting. In one embodiment, the synthetic data may simulate a handwritten check that is used to train or evaluate an optical character recognition process.

Abstract: Systems for securing transactions based on merchant trust score are disclosed. The system may receive information identifying a merchant from a user device and, in response, retrieve transaction data associated with the merchant and receive website data in response to receiving information identifying the merchant. The system may use a machine learning model to generate a merchant trust score for the merchant, and determine whether the merchant trust score is less than a predetermined threshold. The system may also generate or retrieve an alternative payment method and provide related information or a recommendation to the user device.

Abstract: Embodiments disclosed herein provide for dynamically modifying image and/or video content based on user preferences. Embodiments provide a server, a database containing user preference information and one or more content templates, and a content generator comprising a plurality of generative adversarial networks, wherein each generative adversarial network is associated with a corresponding style transfer, and the content generator is configured to apply one or more style transfers to a base image to convert the base image into a desired style. Once created, the customized content is sent to a client device to for display.

Abstract: A toll transponder may receive transaction card data identifying a transaction card associated with a transaction account. The toll transponder may provide to a toll server device, and via a toll antenna of a toll collection system, a request for a transaction amount for a vehicle toll, and may receive a response requesting authorization for payment of the transaction amount. The toll transponder may determine, based on the response, an authorization request cryptogram for payment of the transaction amount, and generate an encrypted signal identifying the authorization request cryptogram, the transaction card data, and a toll transponder identifier identifying the toll transponder. The toll transponder may provide the encrypted signal to the toll server device via the toll antenna, and may receive from the toll server device, via the toll antenna, data indicating whether the transaction amount for the vehicle toll is approved.