公开(公告)号：US20230409359A1

公开(公告)日：2023-12-21

申请号：US17845409

申请日：2022-06-21

Applicant: Bank of America Corporation

Inventor： Elvis Nyamwange

IPC: G06F9/455

CPC classification number: G06F9/455

Abstract: Aspects of the disclosure relate to a distributed regulatory tanglegraph consortium system for executing processes in a virtual computing environment. A computing platform may receive a rule from a rulemaking body. The computing platform may parse the rule to identify a virtual computing environment service and/or virtual computing environment product that the rule may affect. The computing platform may separate the rules into groups, wherein each group may correspond to a different virtual computing environment service and/or virtual computing environment product. If the computing platform determines the rule may be non-essential to virtual computing environment transactions, the computing platform might not process the rule. If the computing platform determines the rule may be essential to virtual computing environment transactions, the computing platform may transmit the rules to a device associated with the virtual computing environment service and/or virtual computing environment product that the rule may affect.

公开(公告)号：US20230188344A1

公开(公告)日：2023-06-15

申请号：US17547918

申请日：2021-12-10

Applicant: Bank of America Corporation

Inventor： Elvis Nyamwange

IPC: H04L9/32 ,  G06F3/06

CPC classification number: H04L9/32 ,  G06F3/0623 ,  G06F3/0626 ,  G06F3/0655 ,  G06F3/067

Abstract: Aspects of the disclosure relate to automatically re-routing multi-cloud holochain data ingestion based on network architecture availability for internet of things (IoT) devices. A computing platform may request information that describes each cloud computing environment of a multi-cloud computing environment to identify the cloud computing environment that may store consumer data. The computing platform may compare the information that describes each cloud computing environment to an enterprise organization's preferences for selecting a cloud computing environment. The cloud computing platform may validate the consumer data and may encrypt the consumer data using public and private key pairs. The computing platform may transmit the encrypted consumer data to the cloud computing environment that satisfies the enterprise organization's preferences.

公开(公告)号：US20230129994A1

公开(公告)日：2023-04-27

申请号：US17557208

申请日：2021-12-21

Applicant: Bank of America Corporation

Inventor： Maharaj Mukherjee ,  Carl M. Benda ,  Elvis Nyamwange ,  Suman Roy Choudhury ,  Utkarsh Raj

IPC: G06F16/2452 ,  G06F16/242 ,  G06F16/21 ,  G06F16/25

Abstract: Aspects of the disclosure relate to transliteration of machine interpretable languages. A computing platform may train a machine learning model using source syntax trees and target dialect syntax trees, which may configure the model to output source dialect keys and their corresponding target dialect queries. The computing platform may execute the corresponding target dialect queries to identify whether they are valid. For a valid target dialect query, the computing platform may store the valid target dialect query and first source dialect keys corresponding to the valid target dialect query in a lookup table. For an invalid target dialect query resulting in error, the computing platform may: 1) identify a cause of the error; 2) generate a transliteration rule to correct the error; and 3) store, in the lookup table, the invalid target dialect query, second source dialect keys corresponding to the invalid target dialect query, and the transliteration rule.

公开(公告)号：US20230127193A1

公开(公告)日：2023-04-27

申请号：US17557366

申请日：2021-12-21

Applicant: Bank of America Corporation

Inventor： Maharaj Mukherjee ,  Utkarsh Raj ,  Carl M. Benda ,  Suman Roy Choudhury ,  Elvis Nyamwange

IPC: G06F16/2452 ,  G06F16/242

Abstract: Aspects of the disclosure relate to transliteration of machine interpretable languages. The computing platform may receive a query, formatted in a first format for execution on a first database. The computing platform may translate the query to a second format for execution on a second database by:1) extracting non-essential parameters from the query to create a query key; 2) storing the non-essential parameters; 3) executing a lookup function on a query library to identify a translated query corresponding to the query key; 4) based on identifying that the query library includes portions of the query key rather than the query key, recursively identify the translated query by nesting the portions of the query key; and 5) input the non-essential parameters into the translated query to create an output query. The computing platform may execute the output query on the second database.

公开(公告)号：US12301596B2

公开(公告)日：2025-05-13

申请号：US18678016

申请日：2024-05-30

Applicant: Bank of America Corporation

Inventor： Elvis Nyamwange

IPC: H04L9/40 ,  G06N3/045

Abstract: Aspects of the disclosure relate to enhancing hybrid traditional neural networks with liquid neural networks for cyber security and offense protection. A computing platform may receive a request to access enterprise organization data. The computing platform may compare the current request to previous requests to determine whether a similar request was previously processed. If a similar request was not previously processed, the computing platform may flag the request as a threat and may analyze the request. The computing platform may extract data from the request and may use the extracted data to generate rules, threat detection algorithms, and training models. The computing platform may use the rules, threat detection algorithms, and training models to train a deep learning neural network to identify and handle threats to an enterprise organization.

公开(公告)号：US20250086623A1

公开(公告)日：2025-03-13

申请号：US18243427

申请日：2023-09-07

Applicant: BANK OF AMERICA CORPORATION

Inventor： Elvis Nyamwange ,  Sailesh Vezzu ,  Amer Ali ,  Rahul Shashidhar Phadnis ,  Rahul Yaksh ,  Hari Vuppala ,  Pratap Dande ,  Brian Neal Jacobson ,  Erik Dahl

IPC: G06Q20/38 ,  G06Q20/40

Abstract: Systems, computer program products, and methods for collecting and storing digital transfer records are provided. The method includes receiving a data transfer request for a data transfer associated with a user. The method also includes causing an execution of the data transfer associated with the user. An executed data transfer record is created for the data transfer. The method further includes receiving a detailed data transfer record associated with the data transfer. The detailed data transfer record indicates one or more transfer items associated with the data transfer. The method still further includes generating a combined data transfer record based on the detailed data transfer record and the executed data transfer record on a digital ledger that includes information relating to the data transfer. The method also includes causing a rendering of a user interface configured to display the combined data transfer record.

公开(公告)号：US12250225B2

公开(公告)日：2025-03-11

申请号：US18223178

申请日：2023-07-18

Applicant: BANK OF AMERICA CORPORATION

Inventor： Elvis Nyamwange ,  Amer Ali ,  Erik Dahl ,  Pratap Dande ,  Brian Neal Jacobson ,  Rahul Shashidhar Phadnis ,  Sailesh Vezzu ,  Hari Vuppala ,  Rahul Yaksh

IPC: H04L9/40 ,  H04L67/1097 ,  H04L67/52

Abstract: Systems, computer program products, and methods are described herein for validation of electronic data transfers in a distributed network via self-directed image data. The present invention is configured to receive a request for a transfer of electronic data from a first repository associated with a first user to a second repository associated with a second user, transfer the electronic data, generate and apply a first identifier to the electronic data, collect a geolocation of a second endpoint device, transmit the geolocation and a request for a verification of the geolocation to the first endpoint device, receive the verification of the geolocation, generate and apply a second identifier to the electronic data, transmit control signals to the second endpoint device to prompt collection of self-directed image data, and collect, using the second endpoint device, the self-directed image data.

公开(公告)号：US20250055752A1

公开(公告)日：2025-02-13

申请号：US18231707

申请日：2023-08-08

Applicant: BANK OF AMERICA CORPORATION

Inventor： Elvis Nyamwange ,  Sailesh Vezzu ,  Amer Ali ,  Rahul Shashidhar Phadnis ,  Rahul Yaksh ,  Hari Vuppala ,  Pratap Dande ,  Brian Neal Jacobson ,  Erik Dahl

IPC: H04L41/0668 ,  H04L41/0604 ,  H04L41/22

Abstract: Systems, computer program products, and methods for automated node failure detection across a multi-node network. The method includes receiving one or more node metrics. Each of the one or more node metrics are associated with a node of a distributed network with a plurality of nodes. The method also includes determining a potential failure node of the plurality of nodes based on at least one of the one or more node metrics. The potential failure node is the node associated with the at least one of the one or more node metrics. The at least one of the one or more node metrics is different than an expected node metric for the node. The method further includes determining one or more replacement nodes for the potential failure node. The one or more replacement nodes are capable of performing one or more operations being performed by the potential failure node. The method still further includes causing the one or more replacement nodes to replace one or more operations of the potential failure node.

公开(公告)号：US20250037005A1

公开(公告)日：2025-01-30

申请号：US18225829

申请日：2023-07-25

Applicant: BANK OF AMERICA CORPORATION

Inventor： Elvis Nyamwange ,  Erik Dahl ,  Brian Neal Jacobson ,  Pratap Dande ,  Hari Vuppala ,  Rahul Yaksh ,  Rahul Shashidhar Phadnis ,  Amer Ali ,  Sailesh Vezzu

IPC: G06N20/00

Abstract: Systems, computer program products, and methods are described herein for dynamic allocation of computational resources for optimized performance of ML models. The present disclosure is configured to receive a request to execute a ML model; determine computational requirements associated with the ML model; determine a subset of computational resources from a pool of computational resources to execute the ML model based on the computational requirements associated with the ML model; allocate the subset of computational resources to the ML model; and execute the ML model using the subset of computational resources.

公开(公告)号：US20250015995A1

公开(公告)日：2025-01-09

申请号：US18892141

申请日：2024-09-20

Applicant: BANK OF AMERICA CORPORATION

Inventor： Elvis Nyamwange

IPC: H04L9/32 ,  G06V10/74 ,  G06V10/75 ,  G06V10/77 ,  G06V10/94 ,  G06V20/00

Abstract: Systems, computer program products, and methods are described herein for secure user identification using digital image processing. The present invention is configured to receive, via a first user input device, an input selection of a first image from a first user, wherein the first image is associated with a second user; extract features of the first image; determine a secure image matching the first image based on at least the features of the first image; extract, from the secure image, a unique device identifier associated with the second user embedded thereon; and transmit control signals configured to cause the first user input device to display the unique device identifier.