Abstract: Systems, methods, and computer-readable storage media for data protection. One system includes a data processing system including memory and one or more processors configured to determine one or more protection algorithms corresponding to one or more workstream elements of a workstream of one or more data systems. The processors are further configured to model one or more cybersecurity threats of the one or more data systems. The processors are further configured to map the one or more workstream elements of the workstream into the one or more cybersecurity threats based on one or more correlations between the one or more protection algorithms and the one or more cybersecurity threats. The processors are further configured to update a workstream element validation status of the one or more workstream elements based on the mapping of the one or more workstream elements.

Abstract: Systems, methods, and apparatuses for providing a central location to manage permissions provided to third-parties and devices to access and use user data and to manage accounts at multiple entities. A central portal may allow a user to manage all access to account data and personal information as well as usability and functionality of accounts. The user need not log into multiple third-party systems or customer devices to manage previously provided access to the information, provision new access to the information, and to manage financial or other accounts. A user is able to have user data and third-party accounts of the user deleted from devices, applications, and third-party systems via a central portal. The user is able to impose restrictions on how user data is used by devices, applications, and third-party systems, and control such features as recurring payments and use of rewards, via a central portal.

Abstract: A system includes a processing circuit configured to receive asset data relating to assets and asset distribution parameters. The processing circuit is further configured to model the asset data with the asset distribution parameters to generate initial distribution data for the assets. The processing circuit is further configured to generate initial display data based on the initial distribution data and provide the initial display data to a user device. The processing circuit is further configured to receive a user adjustment to the elements from the user device. The processing circuit is further configured to model the initial distribution data with the user adjustment to generate adjusted distribution data. The processing circuit is further configured to generate adjusted display data based on the adjusted distribution data and provide the adjusted display data to the user device.

Abstract: Systems, methods, and apparatuses for providing a customer a central location to manage permissions provided to third-parties and devices to access and use customer information maintained by a financial institution are described. The central location serves as a central portal where a customer of the financial institution can manage all access to account information and personal information stored at the financial institution. Accordingly, the customer does not need to log into each individual third-party system or customer device to manage previously provided access to the customer information or to provision new access to the customer information. A user additionally is able to have user data and third-party accounts of the user deleted from devices, applications, and third-party systems via a central portal.

Abstract: A system includes a processing circuit configured to receive asset data relating to assets of an entity and asset integration parameters. The processing circuit is further configured to model the asset data with the asset integration parameters to generate asset integration data for the assets. The asset integration data corresponds to two or more of the assets that may be combined based on the asset integration parameters. The processing circuit is further configured to generate and provide, to a graphical user interface (GUI) of a user device, an interface corresponding to the asset integration data. The interface includes a plurality of elements illustrating the two or more of the assets that may be combined.

Abstract: A computer-implemented method includes receiving a transaction request including a transaction amount, determining that the transaction amount would cause a violation of a daily spending limit, determining to apply an adaptive daily spending limit (ADSL) override, generating an approval message indicating that the transaction request is approved based on the application of the ADSL override, transmitting the approval message to an automated teller machine (ATM), and dispensing the transaction amount in a currency by the ATM.

Abstract: An example computer system for authenticating a user can include: one or more processors; and non-transitory computer-readable storage media encoding instructions which, when executed by the one or more processors, causes the computer system to create: an analytical engine programmed to track activities of the user outside of a metaverse and within the metaverse; a query engine programmed to generate a series of questions for the user based upon the activities of the user outside of the metaverse and within the metaverse; and an authentication engine programmed to authenticate the user based upon responses to the series of questions provided by the user.

Abstract: Disclosed are example methods, systems, and devices that allow for secure generation of authentication datasets from network activity. The techniques include accessing secured data sources to generate a first dataset of secured data, and extracting information from one or more unsecured data sources to generate a second dataset comprising a second dataset. A third set of data elements can be generated from the first and second datasets, and may be utilized to authenticate credentials that can be utilized to access secured data via a network. The techniques can transmit indications that credentials are invalid if the credentials fail to satisfy aspects of the third dataset.

Abstract: Aspects of this technical solution can include identifying an NFT linked with a first public and private key pair associated with the source account, having a transfer property indicating that the NFT is transferable from the source account, having a value property denominated in fiat currency, and having a volatility metric based on one or more requests to transfer the NFT prior to or concurrently with the request, transferring the NFT from the first public and private key pair to a second public and private key pair linked with the NFT transaction processor and associated with an institution account of the financial institution, generating a third public and private key pair linked with the second customer computing device and associated with the recipient account, and transferring the amount of currency from the second public and private key pair to the third public and private key pair.

Abstract: Various examples are directed to systems and methods for administering transactions between plan participants in a retirement plan. A group management system may use public verification keys for the set of plan participants to monitor transactions involving the set of plan participants at a retirement plan distributed ledger and detect a trigger condition for a first plan participant of the set of plan participants. The group management system may generate an intra-group transaction, generate a transaction record describing the intra-group transaction, and broadcast the transaction record to be included in the retirement plan distributed ledger.

Abstract: Techniques are described for a model-based process to validate build integrity of software products. A build integrity validation system generates a build artifact model including one or more software components extracted from a build artifact resulting from a software build process of source code and generates a source code including one or more software components extracted from the source code. The system compares the software components of the build artifact model and the software components of the source code model, and identifies at least one discrepancy between the build artifact model and the source code model. The system determines a level of risk associated with the at least one discrepancy and, in response to determining the level of risk associated with the at the least one discrepancy, generates a decision indicating whether the at least one build artifact is approved for use in a software product.

Abstract: Association of personal, financial, and/or business-related identification information with a mobile communication device (MCD) is provided for herein. For example, an MCD can be associated with a financial account and can further include an identification component that verifies an identity of a user of the MCD. Identity can be verified by biometric analysis (e.g., finger/thumb print scan), username and password, optical feature scan, or a combination thereof or of like mechanisms, for instance. Accordingly, the claimed subject matter provides a mechanism to verify identification of a user of an MCD and incorporate user ID into remote data exchange, including remote financial transactions, with one or more networked devices.

Abstract: An example computing device includes: a processor; and a system memory, the system memory including instructions which, when executed by the processor, cause the computing device to: identify a financial account associated with debit card use; parse financial transactions associated with the financial account to identify debit card transactions; categorize the debit card transactions into categories based upon types of merchants; map the categories to incentives associated with a credit card; and present potential savings associated with the incentives.

Abstract: A method may include presenting a user interface, the user interface including: a graph presentation area; and a graph link type confirmation area; executing a knowledge graph database search query; in response to the executing, receiving a set of tuple objects corresponding to relationships between entities in the knowledge graph database; populating the graph presentation area with representations of the entities and links connecting the representations of the entities; populating the graph link type confirmation area with a selectable user interface element configured to confirm a relationship of the relationships between entities; receiving activation of the selectable user interface element; and in response to receiving the activation, updating the graph presentation area.

Abstract: Systems, methods and computer-readable storage media are utilized to model a multi-dimensional performance score. A processing circuit including memory and one or more processors is configured to authenticate a first exchanger and a second exchanger, receive a selection of at least one actionable element corresponding to an activity of the first exchanger and the second exchanger, identify a performance model based on the activity, collect at least one performance indicator associated with the first exchanger or the second exchanger, collect first activity data of the first exchanger and second activity data of the second exchanger, model the at least one performance indicator, the first activity data, and the second activity data to generate a MDP score, and provide the MDP score.

Abstract: A system includes an interactive surface of a smart table, a plurality of smart headsets, and a processing circuit configured to detect a session trigger event and initiate a user session based on detecting the session trigger event. The processing circuit is further configured to generate and provide graphical user interfaces to each of the plurality of smart headsets. The processing circuit is further configured to update a first graphical user interface including a first content for a first smart headset of the plurality of smart headsets and update a second graphical user interface including a second content for a second smart headset of the plurality of smart headsets.

Abstract: A method, apparatus, and computer program product for offline authentication are provided. An example method includes receiving, by a computing device, a request for authentication from a first user device associated with a first user. The request includes first authentication credentials generated based upon user attributes retrieved by the first user device from a digital identity construct database at a first time. The method includes determining an offline condition of the computing device at a first time. The method also includes obtaining, by the computing device, second authentication credentials associated with the first user that are based upon one or more user attributes retrieved by the computing device from the digital identity construct database at a second time later than the first time. The method incudes determining a discrepancy between the first and second authentication credentials and authenticating the first user based upon a forecast operation of the same.

Abstract: An example computer system for authenticating a user in a metaverse can include one or more processors; and non-transitory computer-readable storage media encoding instructions which, when executed by the one or more processors, causes the computer system to: receive an authentication credential from the user; determine whether the authentication credential is valid; upon determining that the authentication credential is valid, update authentication status of the user; and maintain the authentication status of the user across multiple login attempts by the user.

Abstract: Systems, apparatuses, and computer program products are disclosed for authenticating a user using a knowledge factor identification transaction with a challenge authentication token. An example method includes providing a logon request, wherein the logon request comprises a user identifier received from a user. The example method further includes receiving a challenge sequence and generating a password structure, wherein the password structure is based on a static password received from the user and the challenge sequence. The example method further includes generating a challenge authentication token comprising the user identifier, the password structure, and a client timestamp and providing the challenge authentication token. The example method further includes receiving an authorization decision message, wherein the authorization decision message is indicative of whether the challenge authentication token was verified.

Abstract: The arrangements disclosed herein relate to generating, by a first device, an authentication code for each of portions of a first message by running each of the portions of the first message through a cryptographic function with a cryptographic key. The first device generates a plurality of valid chunks, each including one of the plurality of portions of the first message and the corresponding authentication code. The first device generates using a Quantum Random Number Generator (QRNG) a random number for each portion of a second message. The first device generates invalid chunks, each invalid chunk includes one of the portions of the second message and the corresponding random number. The first device sends to the second device chaff including the invalid chunks interleaved with the valid chunks.