Wells Fargo Bank, N.a.

Gm Global Technology Operations LLC

United States of America As Represented by the Administrator of Nasa

Adam M Sanders

Ramanathan Ramanathan

Abhijit Rao

Andrew J Garner, Iv

Ramesh Yarlagadda

David L Frost

Pierre Arbajian

Bradford A Shea

Michael Erik Meinholz

Christopher Shain

Matthew J Reiland

Robert E Platt

Muhammad E Abdallah

Douglas Martin Linn

Leandro G Barajas

Frank Noble Permenter

Pierre Arbadjian

Philip A Strawser

Jacob Anson Burkey

Charles W Wampler, Ii

Chris A Ihrke

Donald R Davis

Mark Robert Fichtner

Keith Travis Witt

Joon Maeng

Lyndon Bridgwater

Myron A Diftler

Nicolaus A Radford

Brian Hargrave

Joshua S Mehling

Adam H Parsons

Robert O Ambrose

Scott R Askew

Evan Laske

Robert J Platt, Jr

Bryan J Bergelin

David M Reich

R Scott Askew

Phillip A Strawser

Kody Ensley

William E Goff

Nathaniel Quillin

Joseph Pfeiffer

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.

Systems and methods for quantum based optimization of a personalized portfolio

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.

Systems and methods for post-quantum cryptography on a smartcard

Systems, apparatuses, methods, and computer program products are disclosed for gathering performance information for post-quantum cryptography (PQC) is provided. An example method includes generating, by a quantum computing (QC) detection data generation circuitry, QC detection data and encrypting, by a PQC cryptographic circuitry and by a first neural network, the QC detection data based on a PQC technique, where the first neural network is trained to encrypt the QC detection data using the PQC technique. The example method further includes decrypting, by a PQC decryption circuitry and by a second neural network, the encrypted QC detection data wherein the second neural network is trained to decrypt data, and storing encryption metadata and decryption metadata as PQC cryptographic performance information associated with the PQC technique.

Systems and methods for post-quantum cryptography optimization

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.

Systems and methods for quantum algorithm based optimization

This disclosure describes techniques for threat detection within access control systems having multiple entitlement repositories. An example system includes a first entitlement repository, a second entitlement repository, a third entitlement repository, and a server. The server, in response to receiving an access request to access a service on a network, queries the first, second, and third entitlement repositories based on access characteristics of a user associated with the access request and receives responses from the first, second, and third entitlement repositories. When the responses from the first, second, and third entitlement repositories all match, the server provides authorization for the user to access the service in accordance with the responses.

Access control threat detection

Systems and techniques for real-time feature level software security are described herein. A request may be received from a computing device for data from the feature of the software application. The request for data may include authorization information of a user of the computing device. It may be identified that the feature of the software application contains code containing a reference to a security configuration service. A security configuration may be determined for the feature of the software application by comparing a resource identifier and a feature identifier of the feature of the software application to a set of security configurations of the security configuration service. The security configuration may provide access rules for the feature of the software application. A response may be sent to the computing device based on a comparison of the received authorization information of the user of the computing device to the determined security configuration.

Real-time feature level software security

Techniques are described that determine whether applications and/or services operating in a network environment adhere to risk reduction policies. An example system includes one or more processors, a first agent, a second agent, a third agent, and a compliance analyzer. The first agent analyzes source code in a source code repository associated with an application executing in a network environment according to a first set of policies. The second agent analyzes artifacts of deployed assets on a target deployment environment associated with the application according to a second set of policies. The third agent analyzes access logs to the application according to a third set of policies. The compliance analyzer determines a risk of the application based on the analysis by the first, second, and third agents.

Policy control threat detection

Systems, apparatuses, methods, and computer program products are disclosed for gathering performance information for post-quantum cryptography (PQC) is provided. An example method includes generating, by a QC detection data generation circuitry, QC detection data. The example method further includes encrypting, by a PQC cryptographic circuitry, the QC detection data based on a PQC cryptographic technique The example method further includes decrypting, by a PQC decryption circuitry, the QC detection data. The example method further includes storing, by a PQC cryptographic performance circuitry, encryption metadata generated by the PQC cryptographic circuitry and decryption metadata generated by the PQC decryption circuitry as PQC cryptographic performance information associated with the PQC cryptographic technique.

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 a plurality of PQC cryptographic techniques 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.

A system and related method are provided for dynamically modifying a rule-based matching system. A processor receives a source data entity, and then locates a matching data entity by a search based on the source data entity and a rule set. A rater assessment is provided by a rater that utilizes at least one factor that is independent of the rule set and comprises a degree of matching between the source and matching data entity. A revised rule set is dynamically created based on an output of the analyzer, which in turn is based on the source data entity, the matching data entity, the rater assessment, and the rule set. Once this is complete, a second matching data entity is located by searching for the second matching data entity based on the source data entity and the revised rule set.

Machine learning integration for a dynamically scaling matching and prioritization engine

Various systems and methods are provided for quantum computing based optimization of an efficient frontier determination. One exemplary method may comprise identifying one or more filtered portfolio optimization factor data based on one or more portfolio optimization factor data, 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, and utilizing the selected QC algorithm to optimize an efficient frontier determination for each identified filtered portfolio optimization factor data.

Systems and methods for quantum based optimization of an efficient frontier determination

Apparatuses, methods, and computer program products are provided for data privacy and clearance traversal. An example method includes receiving a first model having an associated first clearance. The method further includes determining a faulty outcome of the first model due to the first clearance and receiving a second model having an associated second clearance. The method also includes inputting the faulty outcome of the first model to the second model and generating a traversal outcome of the second model. The method further include inputting the traversal outcome to the first model so as to traverse a clearance issue associated with the first clearance. The method also includes preventing access of the second model to user data analyzed by the first model in generating the faulty outcome.

Apparatuses and methods for data clearance traversal

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Holly, MI, United States of America

Adam M Sanders