Abstract: Systems and methods for automatic management of multiple accounts are provided. Example embodiments of the present disclosure provide a server configured to authenticate a user, detect the user is visiting an online website associated with a merchant, create a user account with the merchant for the user, where the user account including a user name and a password. The server can be further configured to retrieve personal identifiable information (PII) of the user from a financial account associated with the user, where the PII including information of a payment card of the user, provision the PII of the user to the merchant; and store the password.

Abstract: In some implementations, a system may receive interaction request data indicating a request by a first user to perform a requested interaction via a user account, wherein the first user is associated with the user account. The interaction request data may indicate a first user identifier and first user biometric authentication data associated with the first user. The system may identify a second user identifier associated with a second user associated with the user account. If the system determines that an authorization condition is satisfied, the system may transmit, to a second user device associated with the second user, a second user authentication. The system may receive, from the second user device, second user biometric authentication data associated with the second user. The system may authorize the requested interaction based on receiving the second user biometric authentication data within a time threshold after a request time associated with the request.

Abstract: Methods and systems generating real-time notifications of software application importance based on current processing requirements. The method includes receiving a first dataset, wherein the first dataset comprises recovery time estimates for processing requirements. The method includes receiving a second dataset, wherein the second dataset comprises second recovery time estimates for applications. The method includes receiving a third dataset, wherein the third dataset comprises dependencies between processing requirements and applications. The method determines many-to-many relationships between the processing requirements and applications based on the dependencies. The method inputs the many-to-many relationships into a machine learning model to identify importance metrics for each application. The method generates, for display on a user interface, a ranking of the applications in order of importance metric.

Abstract: Methods and systems are described herein for enabling permissible interactions with applications shared during communication sessions. The system may detect, by a communication application on a first device during a communication session, activation of a sharing function on a second device. The sharing function may enable sharing of a shared application via the communication application. The system may determine one or more permissible interactions for the first device to perform with one or more portions of the shared application. Based on user input received by the first device, the system may detect an interaction with a portion of the shared application. The system may determine whether the interaction is a permissible interaction for the shared application. In response to determining that the interaction is permissible, the system may perform an action on the portion of the shared application on the first device.

Abstract: A device may receive, from a client device of a customer, item data identifying a price of an item and customer data identifying the customer, where the item data may be received by a transaction card from a price tag of the item. The device may receive price data identifying prices associated with multiple items and other data identifying locations, availabilities, and terms of the multiple items, and may process the item data, the price data, and the other data, with a machine learning model, to identify an optimal price for the item. The device may provide, to the client device, data identifying the optimal price and data identifying a merchant associated with the optimal price, and may receive transaction data identifying the item, the optimal price, and the merchant when the customer purchases the item. The device may perform actions based on the transaction data.

Abstract: Systems and methods utilize a data change repository that supplements existing data in a database by storing various data labels for each record. Each data label comprises a first data characteristic comprising a stateless value and a second data characteristic that comprises a modification characteristic of the stateless value. The systems and methods may then use these additional labels to identify and/or validate the underlying data. As the labels are used for the identification and/or validation (as opposed to the underlying data itself), the systems and methods do not affect, and function despite, security protocols, access restrictions, and/or viewing rights.

Abstract: Systems and methods for generating synthetic intercorrelated data are disclosed. For example, a system may include at least one memory storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include training a parent model by iteratively performing steps. The steps may include generating, using the parent model, first latent-space data and second latent-space data. The steps may include generating, using a first child model, first synthetic data based on the first latent-space data, and generating, using a second child model, second synthetic data based on the second latent-space data. The steps may include comparing the first synthetic data and second synthetic data to training data. The steps may include adjusting a parameter of the parent model based on the comparison or terminating training of the parent model based on the comparison.

Abstract: A method and related system for generating and presenting queries is disclosed. The method includes selecting a first context based on a set of inputs including a first query and determining a match between the first context and a stored context associated with a schema. The method further includes generating a second query based on the set of inputs with a first language model in response to the determination of the match and identifying an indicated portion of the second query by providing, as a second input, the second query to a second language model. The method also includes generating data, the data including an issue indicator of the second query based on the indicated portion; and sending the data to the client device.

Abstract: A method includes obtaining a schema of a database and obtaining a field of a data table of the schema, the field including a field name and a field descriptor. The method includes accessing a first set of records structured in accordance with the schema and assigning a category to the field of the schema based on the field name and the field descriptor using a machine learning model. The method includes receiving an identifier via an application program interface and obtaining a set of query generation model parameters associated with the database or the schema. The method includes generating a plurality of queries based on the set of query generation model parameters, the identifier, and the category. The method includes retrieving a second set of records from the database based on the plurality of queries and storing the second set of records in association with the identifier.

Abstract: The exemplary embodiments provide an improved approach to preventing exfiltration through email messages. The exemplary embodiments process outbound email messages to determine whether an outbound email message contains sensitive subject matter based on contextual information. The determination may be made based at least in part on the context reflected in the contextual information. In the exemplary embodiments, the determination of whether an outbound email message contains sensitive subject matter that should not be exfiltrated may be based at least in part on analysis performed by a trained neural network model.

Abstract: Verification techniques based on wireless communication with a contactless card. A passcode is generated based on a cryptogram read from a contactless card. The passcode is generated responsive to a device detecting the contactless card. The passcode has an associated account and an associated validity criterion. The passcode is stored on a server. A request specifying to perform an operation associated with the account and further specifying a passcode generated prior to the operation being specified is received. Upon a determination that the specified passcode matches the stored passcode and that the validity criterion remains satisfied, the operation specified by the request is authorized to be performed.

Abstract: A method and related system for decoupling runtimes of software dependencies includes operations to obtaining, in a first runtime of a first application executing in the first runtime, a command to execute a second application. The operations also include detecting an identifier in metadata associated with the second application and executing a second runtime in a container based on a runtime build identified by the identifier. The operations also include executing the second application in the second runtime.

Abstract: Successful application of a coupon code on an e-commerce website is detected via network request tracking and page data tracking. Upon coupon application, the coupon code is stored, for example in a server-based database. The coupon code is then automatically applied to subsequent e-commerce purchases whose parameters match the requirements for the coupon. The coupon can be automatically applied to purchases made by the same user and/or other users, as applicable.

Abstract: A computer implemented method, system and non-transitory computer-readable device for a remote deposit environment activating, on a client device, a financial application, wherein the financial application is configured to instantiate a customer interface (UI) on the client device. Upon receiving a customer request, based on interactions with the UI, the method implements an electronic deposit of a financial instrument by activating a camera on the client device to generate a live stream of image data of a field of view of at least one camera, wherein the live stream includes imagery of at least a portion of the financial instrument. The method continues by extracting, based on the live stream of image data and by an optical character recognition program resident on the client device, one or more data fields from the financial instrument and communicating the extracted one or more data fields to a remote deposit server to complete the electronic deposit.

Abstract: Methods and systems are described herein for improvements for cybersecurity of telecommunication devices. For example, cybersecurity for telecommunication devices may be improved by analyzing activity log data of telecommunication devices for a candidate event (e.g., the uploading of malware) and disabling one or more services of a telecommunication device. By doing so, cybersecurity for telecommunication devices may be improved by detecting a possible malware intrusion attempt and disabling one or more services of the telecommunication devices. For example, activity log data of telecommunication devices may be obtained. A candidate event indicating malware may be detected in the activity log data. A number of proximate telecommunication devices satisfying a proximity threshold condition may be determined. The number of proximate telecommunication devices that satisfy a density threshold condition may be determined.

Abstract: A method for object protection identification is provided. The method may: monitor, using a processor, at least one of audio data or history data associated with a user; detect an object replacement triggering event, based on a result of the monitoring; receive user data for a user associated with the at least one of audio data or history data; identify an object corresponding to the object replacement triggering event based on the user data; identify object-related information, the object-related information including at least one of an object protection information or an object replacement information; and transmit the at least one of the object protection information or the object replacement information based on identifying the object-related information.

Abstract: Methods and systems are described for generating dynamic interface options using machine learning models. The dynamic interface options may be generated in real time and reflect the likely goals and/or intents of a user. The machine learning model may provide these features by interpreting multi-modal feature inputs. For example, the machine learning model may include a first machine learning model, wherein the first machine learning model comprises a convolutional neural network, and a second machine learning model, wherein the second machine learning model performs a Weight of Evidence (WOE) analysis.

Abstract: Various embodiments are directed to dynamically and temporarily adjusting power to an NFC reader of a computing device from a first power level to a second power level based on a feedback mechanism between a contactless card and the computing device. The contactless card may provide a message containing a checksum. The computing device may receive the message and calculate a checksum based on the received message. By comparing these two checksums, it may be determined whether the entire message has been correctly received. If not, the power to the NFC reader may be temporarily increased to allow better communication between the contactless card and the computing device.

Abstract: A computer implemented method, system, and non-transitory computer-readable device that may be used in a remote deposit environment. Upon receiving a user request, based on interactions with the UI, the method implements an electronic deposit of a financial instrument by activating a camera on the client device to generate a live video stream of image data of a field of view of at least one camera, wherein the live video stream includes imagery of at least a portion of each side of the financial instrument. The method continues by extracting data fields based on the formation of image objects of each side of the financial instrument from the live video stream of image data. A flip detection pauses the forming of image objects during the flip. The extracted data fields are communicated to a remote deposit server to complete the remote deposit.

Abstract: In some implementations, a server device may receive, from a client device, a script identifier, that identifies a script, and an indication of whether the script was successfully executed by the client device. The server device may determine whether a condition associated with disabling the script is satisfied based on the script identifier, the indication of whether the script was successfully executed by the client device, and stored information determined based on a plurality of indications of whether the script was successfully executed by a plurality of other client devices. The server device may selectively cause a data structure to be updated to indicate that the script is disabled based on determining whether the condition is satisfied. The data structure may be used to indicate whether the script is enabled prior to execution of the script.