Abstract: Various systems and methods are provided for quantum computing based optimization of a personalized portfolio. One exemplary method may comprise identifying one or more filtered personalized portfolio optimization factor data based on one or more optimization factor data for the personalized portfolio, personalized portfolio owner feedback, QC algorithms, and algorithm performance information, selecting one QC algorithm for each filtered portfolio optimization factor data of the one or more filtered portfolio optimization factor data, utilizing the selected QC algorithm to optimize a personalized portfolio determination for each identified filtered personalized portfolio optimization factor data, and rebalancing the personalized portfolio based on the personalized portfolio determination.

Abstract: Apparatuses, methods, and computer program products are provided for improved model compliance. An example method includes receiving a product model that is generated from user data associated with a plurality of users and receiving a first regulation offending model that is non-compliant with respect to a first regulatory factor. The method also includes analyzing the product model with the first regulation offending model and generating a first regulation compliance score for the product model with respect to the first regulatory factor. The method further includes determining whether the first regulation compliance score satisfies a first regulatory factor threshold. In an instance in which the first regulation compliance score fails to satisfy the first regulatory factor threshold, the method includes generating a first violation notification or modify the product model.

Abstract: Various methods are provided for quantum computing (QC) based code-optimization. One example method may comprise receiving an indication of one or more runtime hotspots in executed code based on one or more QC algorithms, testing a portion of the executed code associated with at least one of the one or more identified runtime hotspots; generating a plurality of performance information indicators comprising information resulting from the testing of the portion of the code; selecting, based on the plurality of performance information indicators, one QC algorithm for the at least one of the one or more identified runtime hotspots; and utilizing the selected QC algorithm for the at least one of the one or more identified runtime hotspots to optimize the at least one of the one or more identified runtime hotspots.

Abstract: A computer-implemented method for providing a recommended payment account includes receiving location information from a mobile device of a user having one or more payment accounts provided by a financial institution computer system, and determining a location of the user relative to a merchant based on the location information. The method also includes, based on the location of the user relative to the merchant, determining that a payment account recommendation should be sent to the user, including a recommended payment account for use in a payment transaction with the merchant and an incentive offer for using the recommended payment account in the payment transaction, determining the recommended payment account based on an expected financial impact to the user, generating the incentive offer, and sending the incentive offer and the recommended payment account to the mobile device of the user.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for post-quantum cryptography (PQC). An example system includes a PQC smartcard. The smartcard may include a PQC cryptographic algorithm selection circuitry configured to select a PQC cryptographic technique from a set of PQC cryptographic techniques for encrypting the data. The smartcard may further include a PQC cryptographic circuitry configured to encrypt data based on a generated set of PQC encryption attributes and the PQC cryptographic technique.

Abstract: A system and method for preventing the double-spending of digital currency that transfers between multiple DLT networks. The system and method includes creating, based on a unit of fiat currency, a first digital currency of a first type on a first DLT network and a second digital currency of a second type on a second DLT network. Each of the first digital currency and the second digital currency simultaneously represent a value associated with the unit of fiat currency. The system and method includes detecting a transaction request to transfer the first digital currency from the first DLT network to the second DLT network. The system and method include locking, responsive to detecting the transaction request, the first digital currency onto the first DLT network to prevent a transfer of the first digital currency from the first DLT network to another DLT network responsive to a subsequent transaction request.

Abstract: An apparatus, method, and computer program product for generating a unified digital check register are provided. An example method includes receiving, by input/output circuitry, check data and determining, by check evaluation circuitry, whether the received check data corresponds to a digital check or a physical check. In response to determining that the received check data corresponds to a digital check, the method includes generating digital check data based on the received check data. In response to determining that the received check data corresponds to a physical check the method includes generating physical check data based on the received check data. The method further includes inserting, by registry management circuitry, any generated digital check data with any generated physical check data into a unified check dataset, and curating, by the registry management circuitry, a unified digital check register using the unified check dataset.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for post-quantum cryptography (PQC). An example method includes receiving data. The example method further includes receiving a set of data attributes about the data. The set of data attributes comprises one or more sets of data environment data attributes that are each representative of a set of data environments associated with the data. The example method further includes receiving one or more sets of data environment threat data structures associated with one or more data environments in the one or more sets of data environments associated with the data. The example method further includes selecting one or more cryptographic techniques for encrypting the data for at least the one or more data environments based on the set of data attributes, the one or more sets of data environment threat data structures, and a cryptograph optimization machine learning model.

Abstract: Alert routing system and methods are described. Alerts are received and aggregated from disparate internet-of-things devices. Alerts may be prioritized based on any combination of: source device-related factors, such as device purpose; subscriber-related factors, such as age, preferences, and restrictions; and subscriber device-related factors, such as ability to receive information in particular formats. In some instances, alerts are further prioritized based on the location of the system's components. Additionally, in some instances, alerts are queued for batch processing based, for example, on subscriber schedule and preferences.

Abstract: Methods, apparatuses, and computer program products are disclosed for dynamic user interfaces. An example computer-implemented method includes receiving a communication channel request from a user device and establishing a communication channel with the user device. The computer-implemented method also includes receiving an indication that a first user and a second user are accessing the communication channel via the user device and generating a hybrid interface. The hybrid interface includes blended interface data based upon first user parameter data associated with the first user and second user parameter data associated with the second user, first personalized interface data based upon the first user parameter data, and second personalized interface data based upon the second user parameter data. The computer-implemented method may include causing the first personalized interface data and/or the second personalized interface data to be obscured.

Abstract: Methods, apparatuses, and computer program products are disclosed for dynamic user interfaces. An example computer-implemented method includes receiving a communication channel request from a first user and establishing a communication channel between a dynamic interface system and a device associated with the communication channel request. The computer-implemented method also includes determining that the first user and a second user are accessing the communication channel via the device and rendering a hybrid interface. The hybrid interface includes blended interface data based upon first user parameter data associated with the first user and second user parameter data associated with the second user, first personalized interface data based upon the first user parameter data, and second personalized interface data based upon the second user parameter data. The computer-implemented method may include obscuring the first personalized interface data and/or the second personalized interface data.

Abstract: A system and method for preventing the double-spending of digital currency that transfers between multiple distributed ledger technology (DLT) networks. The system and method includes receiving an authorization to monitor transaction requests associated with a first DLT network. The system and method includes detecting a transaction request to transfer the first digital currency from the first DLT network to the second DLT network. The first digital currency is created on the first DLT network based on a unit of fiat currency. The system and method include transferring, responsive to detecting the transaction request, the first digital currency from the first DLT network to the second DLT network.

Abstract: Embodiments of the present disclosure provide for improvements in managing connection channels for multiple associated users. As connection channel changes occur for one or more users, various connection channels are updated such that appropriate functionality is accessible as determined based on aspects of the connection channel change. Example embodiments provide for establishing a plurality of connection channels associated with a plurality of user data objects, where each of the plurality of connection channels enables access to functionality associated with a shared electronic data object via one of a plurality of computing devices, detecting, for a first user data object of the plurality of user data objects, a connection channel change associated with a first connection channel corresponding to a first computing device, and updating the functionality associated with the shared electronic data object for at least one of the plurality of connection channels based on the connection channel change.

Abstract: Systems, methods and computer program products are provided for layered quantum computing (QC) detection. An example system includes QC detection data generation circuitry that generates QC detection data via a first post-quantum cryptographic (PQC) technique. The system also includes cryptographic circuitry configured to generate a pair of asymmetric cryptographic keys including a public cryptographic key and a private cryptographic key via a second PQC technique, generate encrypted QC detection data based on the pair of asymmetric cryptographic keys, and destroy the private cryptographic key. The system further includes data monitoring circuitry configured to monitor a set of data environments for electronic information related to the encrypted QC detection data. In response to detection of the electronic information related to the encrypted QC detection data, the system may monitor a set of data environments for electronic information related to the QC detection data.

Abstract: Techniques are described for enabling a user to access a secure system based on vital signs of the user that are collected by a wearable device worn by the user. The vital signs of the user may be used as an extra level of security when accessing the secure system. For example, a computing device may automatically validate that a user requesting access to a secure system is a person and not a robot based on receipt of vital signs of the user. As another example, a computing device may operate as a secure access badge that first analyzes vital signs of a user to confirm that the user is not in distress before sending an access signal to gain access to a secure system. In either example, the computing device may be a wearable device, or be paired to a wearable device to receive the vital signs.

Abstract: Techniques are described for enabling a user to access a secure system based on vital signs of the user that are collected by a wearable device worn by the user. The vital signs of the user may be used as an extra level of security when accessing the secure system. For example, a computing device may automatically validate that a user requesting access to a secure system is a person and not a robot based on receipt of vital signs of the user. As another example, a computing device may operate as a secure access badge that first analyzes vital signs of a user to confirm that the user is not in distress before sending an access signal to gain access to a secure system. In either example, the computing device may be a wearable device, or be paired to a wearable device to receive the vital signs.

Abstract: A method for determining vehicle insurance costs includes receiving a starting location and a destination location for a trip using a vehicle. One or more routes for the vehicle from the starting location to the destination location are received. A cost of insurance is determined for each of the one or more routes for the trip. The cost of insurance for each of the one or more routes for the trip is displayed. A selected route from the one or more routes is received. Operation of the vehicle for the trip is enabled along the selected route.

Abstract: Systems, methods, and computer program products are provided for disparate quantum computing (QC) detection. An example system includes QC detection data generation circuitry that generates a first set of QC detection data and generates a second set of QC detection data. The system also includes cryptographic circuitry that generates a first public cryptographic key and a first private cryptographic key via a first post-quantum cryptographic (PQC) technique and generates a second public cryptographic key and a second private cryptographic key via a second PQC technique. The cryptographic circuitry further generates encrypted first QC detection, second QC detection data, and destroys the first private cryptographic key and the second private cryptographic key. The system further includes data monitoring circuitry that monitors for the first encrypted QC detection data and the second encrypted QC detection data.

Abstract: Embodiments of the present disclosure provide for improvements in managing connection channels for multiple associated users. As connection channel changes occur for one or more users, various connection channels are updated such that appropriate functionality is accessible as determined based on aspects of the connection channel change.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for post-quantum cryptography (PQC). An example method includes receiving data, a set of data attributes about the data, and a risk profile data structure indicative of a vulnerability of the data in a PQC data environment. The example method further includes retrieving PQC cryptographic performance information associated with a set of PQC cryptographic techniques. The PQC cryptographic performance information may comprise a set of PQC cryptographic performance attributes for each PQC cryptographic technique in the set of PQC cryptographic techniques. The example method further includes selecting a PQC encryption algorithm for encrypting the data based on the set of data attributes, the risk profile data structure, the PQC cryptographic performance information, and a PQC optimization machine learning model. Subsequently, the example method includes encrypting the data based on the selected PQC encryption algorithm.