公开(公告)号：US20250148435A1

公开(公告)日：2025-05-08

申请号：US18387307

申请日：2023-11-06

Applicant: Bank of America Corporation

Inventor： Priyanka K ,  Durga Prasad Kutthumolu ,  Abhishek Arya ,  Subburathinam Krishnan

IPC: G06Q20/06 ,  G06Q20/36 ,  H04L9/00

Abstract: Systems and methods to enable green mining for centralized and/or decentralized financial systems are discussed. In some cases, the green mining methodologies are incorporated in distributed quantum ledger-based decentralized finance ecosystems, in decentralized financial systems and/or centralized financial systems. A proof of influence algorithm enables miners to accumulate and use reputation points to reduce computational power requirements on their systems and/or reduce energy consumptionInfluence points is an indicator of trustworthiness of the miner established based utilizing a predictive algorithm that analyzes the past mining behavior. Higher reputational scores result in lesser computationally intensive activities, which reduce energy consumption. The proof of influence algorithm rewards miners to encourage participation as validators of new blocks and/or other activities on the decentralized or centralized ledger-based systems.

公开(公告)号：US20250071027A1

公开(公告)日：2025-02-27

申请号：US18237745

申请日：2023-08-24

Applicant: Bank of America Corporation

Inventor： Sakshi Bakshi ,  Pushkar Taneja ,  Subhasree Baskaran ,  Durga Prasad Kutthumolu

IPC: H04L41/16 ,  H04L9/40 ,  H04L41/069

Abstract: Arrangements for an intelligent monitoring platform using a cybersecurity mesh and graph neural networks (GNNs) are provided. A platform may train multiple machine learning models (e.g., a GNN model, a cybersecurity engine, and a monitoring model). The platform may generate, using a GNN model, a suspicion score for a received event processing request. Based on determining the suspicion score satisfies a threshold, the platform may generate a threat score using a cybersecurity engine. The platform may generate an anomaly record for the event processing request based on the threat score and using a monitoring model. The platform may determine a preferred node of a cybersecurity mesh for routing the event processing request based on the anomaly record. The platform may determine a threat prevention response based on the preferred node. The platform may initiate one or more security actions based on the threat prevention response.

公开(公告)号：US12007963B1

公开(公告)日：2024-06-11

申请号：US18138900

申请日：2023-04-25

Applicant: BANK OF AMERICA CORPORATION

Inventor： Anurajam Rajagopalan ,  Sai Srinivas Vartha ,  Durga Prasad Kutthumolu ,  Roy Jyoti Ranjan

IPC: G06F16/00 ,  G06F16/21 ,  G06F16/242 ,  G06F16/25

CPC classification number: G06F16/212 ,  G06F16/2448 ,  G06F16/252 ,  G06F16/258

Abstract: Systems, computer program products, and methods are described herein for processing resources and associated metadata in the metaverse using knowledge graphs. The invention relates to a method for processing and converting documents from a digital data source, involving the following steps: receiving one or more documents from the data source; storing the documents in a network attached storage using a file transfer protocol; converting the documents into an extensible markup language (XML) format; storing the converted documents in an API-accessible document database; generating a downstream process API for accessing the document database; creating an abstract document delineation for the converted documents based on data extracted via the downstream process API; and finally, transforming the abstract document delineation and associated metadata into a semantic, immersive, actionable ontological modeling language, facilitating enhanced document representation and interaction.

公开(公告)号：US20240177243A1

公开(公告)日：2024-05-30

申请号：US18058832

申请日：2022-11-25

Applicant: Bank of America Corporation

Inventor： Durga Prasad Kutthumolu ,  Susheel Chiluka ,  Saravana Kumar PD ,  Yegappan Alagappan ,  Ravikanth Tadepally ,  Navin Singh

IPC: G06Q40/12 ,  G06T13/40

CPC classification number: G06Q40/12 ,  G06T13/40

Abstract: Aspects of the disclosure describe methods and systems involving separate, parent (e.g., public) and child (e.g., private) metaverses with varying confidentiality and access privileges for auditor users, financial analyst users, regulatory users, and other virtual reality/metaverse users to interact in a fully immersive, real-time manner (e.g., using an immersive query modulation engine) to fulfill audit and regulatory reporting requirements, including extracting information from heterogeneous data stores, recordkeeping of audit responses for regulatory purposes, and maintaining access privileges of varying user profiles.

公开(公告)号：US12273362B2

公开(公告)日：2025-04-08

申请号：US17837908

申请日：2022-06-10

Applicant: Bank of America Corporation

Inventor： Sakshi Bakshi ,  Durga Prasad Kutthumolu

IPC: H04L9/40 ,  G06F9/455

Abstract: A system includes a plurality of computing nodes that form a blockchain network, wherein one or more of the computing nodes is a metaverse computing node configured to generate a mixed reality environment. A processor of at least one computing node is configured to receive information relating to a suspicious data interaction associated with a data file of a user, simulate, based on the received information, the suspicious data interaction in a synthetic mixed reality environment that is substantially identical to the mixed reality environment, verify the suspicious data interaction while the simulated data interaction is being performed, when the suspicious data interaction cannot be verified, disable one or more future data interactions processed using the same smart contract used to process the suspicious data interaction, and when the suspicious data interaction is successfully verified, terminate the simulated data interaction and process the suspicious data interaction.

公开(公告)号：US12153486B2

公开(公告)日：2024-11-26

申请号：US17990967

申请日：2022-11-21

Applicant: BANK OF AMERICA CORPORATION

Inventor： Durga Prasad Kutthumolu ,  Saravana Kumar Pd ,  Ramaswamy M ,  Sakshi Bakshi ,  Sreekanth Raghuveer Maringanti ,  Ramakanth Bachu

IPC: G06F11/07

Abstract: Systems, computer program products, and methods are described herein for intelligent exception handling within a distributed network environment. The present disclosure is configured to receive an incidence of a first exception associated with a network interaction; extract information associated with the first exception; determine, via a machine learning (ML) subsystem, a first exception category associated with the first exception based on at least the information associated with the exception; retrieve, from a repository, a first set of actions associated with the first exception category, wherein the first set of actions are configured to resolve the first exception; and in response, execute the first set of actions.

公开(公告)号：US20240378668A1

公开(公告)日：2024-11-14

申请号：US18144338

申请日：2023-05-08

Applicant: Bank of America Corporation

Inventor： Sakshi Bakshi ,  Sharat Chandran ,  Arif Ahmad Khan ,  Durga Prasad Kutthumolu ,  Kapil Juneja ,  Arvind Bansal

IPC: G06Q40/04

Abstract: Aspects of the disclosure relate to a dual-system reconciliation process of trades. A first real-time trade processing and centralized reconciliation engine may continuously process trades in real-time and may perform centralized reconciliation of the trades. An anomaly detection and reconciliation mesh analysis engine may tokenize trade metadata received from the first real-time trade processing and centralized reconciliation engine, generate tokenized trade digital DNA, generate hashed tokenized trade digital DNA, evaluate and validate the hashed data, and perform decentralized reconciliation mesh analysis of the hashed data using a reconciliation mesh. The anomaly detection and reconciliation mesh analysis engine may send one or more monitory policies from the reconciliation mesh to a user device and may receive a first monitory policy selection from the user device. The anomaly detection and reconciliation mesh analysis engine may update the decentralized reconciliation mesh based on the first monitory policy selection.

公开(公告)号：US20240233280A1

公开(公告)日：2024-07-11

申请号：US18095059

申请日：2023-01-10

Applicant: Bank of America Corporation

Inventor： Thamizh Thendral ,  Anurajam Rajagopalan ,  Durga Prasad Kutthumolu ,  Pracheta Ranjan Mohanty

IPC: G06T19/00 ,  G06N3/0475 ,  G06N3/094 ,  G06Q10/067

CPC classification number: G06T19/006 ,  G06N3/0475 ,  G06N3/094 ,  G06Q10/067

Abstract: Systems, methods, and apparatus are provided for developing and applying a metaverse enabled digital cognitive twin. Customer communications may be secured at a data layer using multi-cloud object storage. A first multi-modal AI system may generate segmented customer activity data from the customer communications and output the segmented customer activity data to a set of decentralized streaming caches. At an extended reality platform, a second multi-modal AI system may generate immersive content from a real time customer input and the segmented customer activity data for viewing in an XR environment. The system may train an XR avatar based at least in part on the customer communications. The XR avatar may interact with customers and agents and may present a video together with customized supplementary information. The immersive video and the XR avatar may be generated by a plug-in application configured to adapt a variety of XR platforms.

公开(公告)号：US20240037463A1

公开(公告)日：2024-02-01

申请号：US17875123

申请日：2022-07-27

Applicant: Bank of America Corporation

Inventor： Venkata Karthik Ryali ,  Durga Prasad Kutthumolu

IPC: G06Q10/06

CPC classification number: G06Q10/06311

Abstract: A decentralized dynamic policy learning and implementation system automatically processes incoming report and generates real-time data based on pre-configured rules and uses a graph-based transformer to generate new policies. The generation of the new polices is based on new alerts or notifications indicating an error with existing policies. An intelligent auto-router detects new security issues and re-routes information to generate the new policy and initiate analysis via a digital twin based on decisioning data points. The digital twin system qualifies the new policy to determine effectiveness in overcoming the security issue. An extended reality environment automatically generates an extended reality environment to based on a graph node structure of the policy.

公开(公告)号：US20230370476A1

公开(公告)日：2023-11-16

申请号：US17740697

申请日：2022-05-10

Applicant: BANK OF AMERICA CORPORATION

Inventor： Sakshi Bakshi ,  Durga Prasad Kutthumolu

IPC: H04L9/40

CPC classification number: H04L63/1416 ,  H04L63/1425 ,  H04L63/1433 ,  H04L63/145 ,  H04L63/20

Abstract: A security system environment that uses artificial intelligence (AI) and machine learning (ML) (collectively “AI/ML”) to provide dynamic detection of potential security breaches and a mixed realty interface to decision the potential security breaches.