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公开(公告)号:US20250030697A1
公开(公告)日:2025-01-23
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.
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公开(公告)号:US20250030625A1
公开(公告)日:2025-01-23
申请号:US18611935
申请日:2024-03-21
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
Abstract: Systems, computer program products, and methods are described herein for selective data routing in a distributed network via data throughput analysis in a distributed ledger network. The present invention is configured to receive a request for a data transmission from an endpoint device of a network, determine, via a routing module, a throughput of data associated with the data transmission, determine a classification of the data transmission, and assign the data transmission to an assigned routing channel. The assigned routing channel may include either a first routing channel or a second routing channel based on the classification, wherein the first routing channel is a light load network, and wherein the second routing channel is a heavy load network comprising a first multicore optical fiber.
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公开(公告)号:US20250028621A1
公开(公告)日:2025-01-23
申请号:US18224112
申请日:2023-07-20
Applicant: Bank of America Corporation
Inventor: Elvis Nyamwange , Erik Dahl , Brian Jacobson , Pratap Dande , Hari Vuppala , Rahul Yaksh , Rahul Phadnis , Amer Ali , Sailesh Vezzu
Abstract: An apparatus may include a computer processor operating in a data center and running an AI/ML model. The apparatus may include a trace log agent and a telemetry agent. The computer processor may be configured to train and run the AI/ML model to determine if a resource in the data center is being utilized or is idle by using data provided by the trace log agent and a telemetry agent. The apparatus may include a status check engine, a discovery engine, and an analytics engine. The computer processor may be configured to run each of these engines to confirm a prediction by the AI/ML model that the resource is idle. The computer processor may be configured to notify an administrator of the data center if the AI/ML model predicts the resource is idle and the engines provide increased confidence to the prediction.
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公开(公告)号:US20240144207A1
公开(公告)日:2024-05-02
申请号:US17975699
申请日:2022-10-28
Applicant: Bank of America Corporation
Inventor: Tileshia Brenda Alford , Erik Dahl , Pratap Dande , Rahul Yaksh , Steven Reich , Vishwanath Prasad Karra , Sailesh Vezzu
Abstract: A system for providing a reflexively routed funds transfer is provided. The system includes a processor, and a receiver for receiving a request for a person-to-person value transfer. The request includes a request identifier. The system also includes a transmitter for transmitting the request to a shared database and a shared database. The database operates in combination with the processor to determine whether multiple targets are associated with the request identifier. When multiple targets are associated with the request identifier, the shared database operates in combination with the processor and the transmitter to notify the transfer initiator that multiple targets are associated with the request identifier, then prompts the transfer initiator to select one of the multiple targets to function as a recipient target for the value transfer. The receiver then receives a selection of one of the multiple targets to function as the recipient target. Then a router routes value transfer to the recipient target.
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公开(公告)号:US20250062908A1
公开(公告)日:2025-02-20
申请号:US18234254
申请日:2023-08-15
Applicant: BANK OF AMERICA CORPORATION
Inventor: Elvis Nyamwange , Sailesh Vezzu , Amer Ali , Rahul Yaksh , Hari Vuppala , Pratap Dande , Brian Neal Jacobson , Erik Dahl , Rahul Shashidhar Phadnis
Abstract: Systems, computer program products, and methods are described herein for dynamic, secure, token-based snapshot generation. The present disclosure is configured to receive, via an alternative access point, a user request to receive a snapshot of one or more resource repositories associated with a user; generate, using a token generator, a token based on at least the user request; authenticate, using an authentication subsystem, the user using the token to confirm legitimacy of the user request; generate, using a snapshot generator, the snapshot of the one or more resource repositories based on at least confirming the legitimacy of the user request, wherein the snapshot is generated based on pre-defined user preferences; embed, using a digital signature subsystem, the snapshot with a digital signature serving as an attestation; and display the snapshot on the user input device.
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公开(公告)号:US20250021640A1
公开(公告)日:2025-01-16
申请号:US18221652
申请日:2023-07-13
Applicant: Bank of America Corporation
Inventor: Elvis Nyamwange , Erik Dahl , Brian Jacobson , Pratap Dande , Hari Vuppala , Rahul Yaksh , Rahul Phadnis , Amer Ali , Sailesh Vezzu
Abstract: Aspects of the disclosure relate to using multiple machine learning models and a sand-box environment to detect malicious uniform resource locators (URLs) and login pages stored in a QR code. An application on a computing device will augment QR code data stored in a QR code and the computing device sends the QR code data and computing device metadata to a deep learning computing platform. The QR code data may comprise a URL and communication protocol information. The deep learning computing platform will generate, by multiple machine learning models and a sand-box environment, a sand-box score using the URL, a user-based score using the computing device metadata, and a connections score using the communication protocol information. The deep learning platform then determines whether the computing device should reject and delete the QR code data based on whether the scores are below a pre-determined threshold.
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公开(公告)号:US20240421994A1
公开(公告)日:2024-12-19
申请号:US18209022
申请日:2023-06-13
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
Abstract: Systems, computer program products, and methods are described herein for a machine learning based system for optimized CPU utilization in data transformation. The present disclosure is configured to receive a new data segment; retrieve characteristics of the new data segment; determine, using a trained machine learning model, an encryption algorithm, and a compression algorithm for implementation on the new data segment based on at least the characteristics of the new data segment; determine, using the trained machine learning model, an order of implementation associated with the implementation of the encryption algorithm and the compression algorithm; and implement the encryption algorithm and the compression algorithm on the new data segment in the determined order of implementation.
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公开(公告)号:US20240414132A1
公开(公告)日:2024-12-12
申请号:US18207272
申请日:2023-06-08
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: H04L9/40
Abstract: Systems, computer program products, and methods are described herein for a secure tunnel proxy with software-defined perimeter for network data transfer. The present disclosure is configured to receive sensor configuration information associated with an Internet of Things (IoT) sensor; receive information associated with an edge computing device configured to receive sensor data from the IoT sensor; configure a secure tunnel proxy between the IoT sensor and the edge computing device based on at least the sensor configuration information and the information associated with the edge computing device; and deploy the secure tunnel proxy between the IoT sensor and the edge computing device.
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公开(公告)号:US20250061469A1
公开(公告)日:2025-02-20
申请号:US18234911
申请日:2023-08-17
Applicant: Bank of America Corporation
Inventor: Rahul Yaksh , Amer Ali , Brian Jacobson , Elvis Nyamwange , Erik Dahl , Hari Vuppala , Pratap Dande , Rahul Phadnis , Sailesh Vezzu
IPC: G06Q30/018 , G06V30/412
Abstract: Systems and methods for alerting an organization about activity that may be fraudulent. Systems may include a computer processor, a storage module, a cleaning module, a preprocessing module, a features extraction module, and a machine learning module. The computer processor may be configured to run a fraud detection engine by collecting publicly available electronic forms every 36 hours, using the modules to store the forms, clean the data, preprocess the data, and run a machine learning model to extract features and to determine if a threshold indicating a risk of fraud has been exceeded. The machine learning models include a liquid, solvency, and profitability ratio classification model, a disclosure classification model, a sentiment analysis model, an anomaly detection classification model, an ownership analysis classification model, and an ESG disclosure classification model. When exceeding a threshold, the computer processor may notify an administrator of the exceeded threshold's identity.
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公开(公告)号:US20250036506A1
公开(公告)日:2025-01-30
申请号:US18227759
申请日:2023-07-28
Applicant: BANK OF AMERICA CORPORATION
Inventor: Brian Neal Jacobson , Amer Ali , Erik Dahl , Pratap Dande , Elvis Nyamwange , Rahul Shashidhar Phadnis , Sailesh Vezzu , Hari Vuppala , Rahul Yaksh
Abstract: Systems, computer program products, and methods are described herein for using advanced computation models for data analysis and automated decision-making for root cause analysis within software. The present disclosure is configured to receive a set of file extensions associated with an error generated from an at least one piece of software; analyzing the set of file extensions using an advanced computation model for data analysis and automated decision-making; determining a set of root cause analysis from the analyzed set of file extensions using a root cause database; summarizing the set of root cause analysis using the advanced computation model for data analysis and automated decision making and a predetermined database of identifiers; and transmitting the summarized set of root cause analysis associated with the error generated from the at least one piece of software to an end-point device.
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