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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：US12125353B1
公开(公告)日：2024-10-22
申请号：US18222537
申请日：2023-07-17
Applicant: Bank of America Corporation
Inventor： Elvis Nyamwange , Erik Dahl , Brian Jacobson , Pratap Dande , Hari Vuppala , Rahul Yaksh , Rahul Phadnis , Amer Ali , Sailesh Vezzu
IPC: G07F19/00
CPC classification number: G07F19/209 , G07F19/206 , G07F19/207
Abstract: A computer performs a method for pro-actively administering a physical network of automated teller machines (ATM). The network may include ATMs. The network may be coupled, using an asynchronous transfer mode Wide Area Network (WAN) and the router, to a second plurality of ATMs via a digital subscriber line (DSL) module, a Closed Circuit Television (CCTV) system to provide CCTV television footage, and/or a 5-G cellular interface. The method receives input data using a data processing block coupled to the network of ATMs. The data may be derived from the plurality of ATMS, the WAN, the second plurality of ATMs, the CCTV and/or the 5-G cellular network interface. The method cleans and processes data and leverages a virtual digital twin to predictively provide status information of the ATMs based on the data. The method may formulate and maintain predictive data using a digital twin prediction model.
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3.发明公开公开(公告)号：US20240111644A1
公开(公告)日：2024-04-04
申请号：US17957144
申请日：2022-09-30
Applicant: Bank of America Corporation
Inventor： Brian Jacobson , Donna Phillips , Elvis Nyamwange , Madhukiran Bangalore Ramachandra , Vismay Mandloi
CPC classification number: G06F11/2025 , G06F11/3006 , G06F11/3476
Abstract: Apparatus and methods for a proactive monitoring-container switching system is provided. The system may include a server cluster. The system may proactively monitor the servers within the cluster to determine if one or more servers within the cluster are showing weaknesses. Upon identifying the weaknesses, the system may identify an available server within the cluster and copy the contents of the weakened server to the available server. The system may then switch the DNS pointer from the weakened server to the available server. Switching the DNS pointer may switch any users and/or applications from the weakened server to the available server with minimal disruption. The synchronizing between servers may maintain the health of the server cluster.
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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：US20240143748A1
公开(公告)日：2024-05-02
申请号：US17978637
申请日：2022-11-01
Applicant: Bank of America Corporation
Inventor： Brian Jacobson , Boris Gitlin , Donna Phillips , Elvis Nyamwange , Madhukiran Bangalore Ramachandra , Vismay Mandloi
CPC classification number: G06F21/554 , G06F21/568
Abstract: Virtual machine images may be constantly scanned using background process, to identify current and evolving security risks, such as by optimizing the image scanning a last-in, first-out (LIFO) stack to prioritize most relevant images. Older and/or non-relevant image are removed from the scanning process and removed from use. Virtual machines image prioritization is based on each virtual machine image's current and/or potential usage requirement, where the LIFO stack prioritizes the scanning order. Newly created virtual machine images and/or newly re-activated virtual machine images are placed onto a provisioning queue (first-in, first out) before activation. The virtual machine images active within a host computing environment are processed via a reconciliation process to scan for indications of security vulnerabilities and/or threats to network security. Obsolete or otherwise irrelevant virtual machine images are removed from use via a repository synchronization process.
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Patent Agency Ranking
公开(公告)号：US20240061667A1
公开(公告)日：2024-02-22
申请号：US17892754
申请日：2022-08-22
Applicant: Bank of America Corporation
Inventor： Madhukiran Bangalore Ramachandra , Brian Jacobson , Donna Phillips , Vismay Mandloi , Elvis Nyamwange
Abstract: Aspects of the disclosure are directed to importing software container images, where an image importer that may import a very large number of container images into local repositories from one or more upstream repositories to an enterprise container platform. An associated computing cluster executes containers (for example, applications and operators) based on the imported container images. Each release (version) of a product supported by the enterprise container platform may require importing newer image sets with respect to the current version. With one aspect, an image importer maintains an image list for container images of the current version, where only missing newer container images for a newer version are added to the list. Only the missing container images for the new version are imported to the enterprise container platform. This approach circumvents importing previously imported container and/or available newer images, thus reducing the amount of imported data from upstream repositories.
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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：US20250053307A1
公开(公告)日：2025-02-13
申请号：US18231381
申请日：2023-08-08
Applicant: Bank of America Corporation
Inventor： Rahul Phadnis , Hari Vuppala , Rahul Yaksh , Pratap Dande , Elvis Nyamwange , Erik Dahl , Brian Jacobson , Sailesh Vezzu , Amer Ali
Abstract: A computing platform may train, using historical information migration error information, an information reconciliation engine to predict information migration errors. The computing platform may detect migration of information from a source information system to a target information system. The computing platform may generate, by inputting the information into the information reconciliation engine, a list of predicted migration errors. The computing platform may sample the migrated information to identify a list of real time migration errors. The computing platform may identify corrective actions to address the list of predicted migration errors and the list of real time migration errors. The computing platform may generate, based on the corrective actions, a configuration file. The computing platform may execute, using the configuration file and on the migrated information, a reconciliation process that remediates errors on both the list of predicted migration errors and the list of real time migration errors.
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公开(公告)号：US20250037548A1
公开(公告)日：2025-01-30
申请号：US18227102
申请日：2023-07-27
Applicant: Bank of America Corporation
Inventor： Elvis Nyamwange , Sailesh Vezzu , Amer Ali , Rahul Phadnis , Rahul Yaksh , Hari Vuppala , Pratap Dande , Brian Jacobson , Erik Dahl
Abstract: Aspects of the disclosure relate to detecting attempts to violate the security of an ATM. A computing system may determine whether an ATM is being used to perform a transaction. Based on the ATM not being used to perform a transaction, images of portions of the ATM may be generated. Estimated dimensions of the ATM may be determined. Digital twin data may be retrieved. The digital twin data may comprise a digital twin representation of the ATM and measured dimensions of the ATM. There may be a determination of whether the estimated dimensions of the ATM match the measured dimensions of the ATM. Based on the estimated dimensions of the ATM not matching the measured dimensions of the ATM, the ATM may be deactivated. Furthermore, a message indicating that the ATM was deactivated may be sent to a validation computing system.
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公开(公告)号：US20250037447A1
公开(公告)日：2025-01-30
申请号：US18227338
申请日：2023-07-28
Applicant: Bank of America Corporation
Inventor： Elvis Nyamwange , Sailesh Vezzu , Amer Ali , Rahul Phadnis , Rahul Yaksh , Hari Vuppala , Pratap Dande , Brian Jacobson , Erik Dahl
Abstract: An apparatus may include conduction of a secure transfer at a point of identification using image recognition and blockchain authentication. The apparatus may include a computer processor, a camera, an image capturing machine, a reference database, an XGBoost image recognition machine learning model, and a blockchain. The computer processor may be an edge computing device. The computer processor may be configured to identify a user at a point of identification by capturing an image, running the Features detection engine to identify sets of features, running the XGBoost image recognition machine learning model to identify labels in the sets of features, and matching the sets of features and labels to a record in the reference database. The computer processor may further be configured to seek user approval on the user's portable device before providing the transfer. Once the user has approved the transfer, the transfer may be recorded in the blockchain.
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