Bank of America Corporation

Other

Manu Jacob Kurian

Sorin N Cismas

Paul Roscoe

Joseph Benjamin Castinado

Jayachandra Varma

Michael Robert Young

Saritha Vrittamani

Lalit Dhawan

Sasidhar Purushothaman

Gopikrishna Nemalikanti

Matthew E Carroll

Rajesh Narayanan

Heather Roseann Dolan

Jo-Ann Taylor

Vinesh Patel

Ganesh Bonda

Darrell Johnsrud

Mahesh Kumar Bhashetty

Ana Maxim

Michael Ogrinz

Victoria Lynn Dravneek

Kevin A Delson

William P Jacobson

Albena Noveva Fairchild

Tomas Mata Castrejon, Iii

Joel Richard Townsend

Christine Meloro Hill

David Nardoni

Robert N Gridley

G Alister Bazaz

Maharaj Mukherjee

George Albero

Jerzy Miernik

Crystal M Sundaramoorthy

Joseph Neil Johansen

Siten Sanghvi

David J Smiddy

Morgan Stewart Allen

Amanda Jane Adams

Gilbert M Gatchalian

Michael Young

James P Scopis

Balaji Subramanian

Elizabeth Votaw

Richard Huw Thomas

Harold Joseph Kennedy

Michael Wuehler

Srinivasulu Bodapati

Thomas J Durkin

Padmanabhan Iyer

Harinath Meedinti Bhaskara Reddy

David N Hillis

Jason T Findley

Ray A Edwards

Kalpesh V Patel

Aeric John Solow

Alicia C Jones-McFadden

Matthew Hsieh

Suki Ramasamy

Naga Vamsi Krishna Akkapeddi

James Heddleson

Linda Haddad

Sean Michael Gutman

James McCormack

Abhishek Nagpal

Karl W Thomas

Dimitra J Tsagris

Jeff T Burch

Vibhuti Damania

Dan L Dilday

Anne Donne

William August Stahlhut

Monika Kapur

Carl Parziale

Ashish Arora

Thomas A Sodano

Timothy Lamonte Atwell

Srinivasa D Madireddi

Stephen A Corrado

Antoan Izmirliev

Shashikant Sadashiv Jadhav

Michael S Karafotis

Michael George Horstman

Phillip Wade Mork

Evan Sachs

Patrick Nicholas Lawrence

Stephen Thomas Shannon

Elena Kvochko

Graham Marshall Wyllie

Christine D Black

Murali Sampath

Greg M Correro

Glenn Edward Hupfer

Eric Eugene Sifford

Kirubel Getachew

Pierre Jacques Bouchard

Andy Anderson

David Anthony Orr

Andrew Benjamin Glassman

Anish Abraham

Systems, computer program products, and methods are described herein for an intelligent processing engine for acquisition, storage, and subsequent refresh of data from a distributed network. The present invention is configured to receive, from one or more distributed computing systems, an enterprise dataset; convert the enterprise dataset to a standardized format; store the enterprise dataset in one or more storage locations based on a characteristic of the enterprise dataset; provide the one or more distributed computing systems with remote access to the one or more storage locations; monitor, via an artificial intelligence engine, usage data from the one or more distributed computing systems, wherein the usage data is associated with remote access of the one or more storage locations; generate, via the artificial intelligence engine, a use score associated with the one or more storage locations; and automatically refresh the one or more storage locations based on the use score.

Intelligent processing engine for acquisition, storage, and subsequent refresh of data from a distributed network

Embodiments of the present invention provide a system for segmenting and controlling transmission of data in computing networks. The system is configured for identifying initiation of transmission of a data file from a first storage container to a second storage container via a first network path, wherein the first network path comprises one or more network nodes, in response to identifying initiation of the transmission of the data file, generating a data tag for the data file, wherein the data tag is generated based on one or more file attributes, embedding the data tag into the data file, and allowing the transmission of the data file comprising the data tag, via the first network path and the one or more network nodes.

Systems for segmenting and controlling the transmission of data in computing networks

A system includes a memory and a processor coupled to the memory. The processor receives a first user credential associated with a first user and authorizes a first avatar of the first user to enter a virtual environment. The processor receives a first request from the first user to receive virtual data objects for at least one target entity and, in response, generates a virtual sub-environment within the virtual environment. The processor authorizes a second user to access the virtual sub-environment and receives a set of conditions from the second user relating to how a first set of virtual data objects is to be distributed to the at least one target entity. The processor receives and transfers the first set of virtual data objects to the at least one target entity based on the set of conditions.

Performing data interactions in a virtual environment

A system includes a memory and a processor coupled to the memory. The processor receives a user credential associated with a user and authorizes an avatar of the user to enter a virtual environment. The processor monitors a plurality of data interactions associated with the first user that are performed in the virtual environment, records information relating to a set of parameters that correspond to a first user profile associated with the first user and determines a first confidence indicator for the first user relating to the first user profile. The processor receives a request from a second user for the first confidence indicator, obtains the first confidence indicator and transmits the obtained first confidence indictor to a user device of the second user.

Performing secure data interactions in a virtual environment

A system is provided for resource sharing over a secure wireless network communication channel. In particular, the system may include an endpoint device equipped with wireless communication capabilities. An application installed on the endpoint device may cause the endpoint device to perform a wireless scan of a network for nearby devices that are configured to send, receive, and/or exchange resources. Each device may be associated with a unique identifier, where the unique identifier may be associated with one or more resource accounts. Upon receiving a selection of a unique identifier, the endpoint device may initiate a resource transfer to the device associated with the selected identifier. In this way, the system may provide a secure and efficient way to exchange resources over a wireless communication channel.

System for resource sharing over a secure wireless network communication channel

A system is provided for remediation of security vulnerabilities in computing devices using continuous device-level scanning and monitoring. In particular, the system may perform a deep scan of the hardware and software elements of a computing device and/or application and compile the information from the deep scan into a hardware metadata list and a software metadata list associated with the computing device and/or application. The system may then, through a machine learning-based process, continuously scan the elements within the hardware metadata list and the software metadata list to identify the elements that are not involved in the operation of the computing device and/or application. The system may flag such elements for inspection to evaluate the safety of the elements and subsequently execute one or more remediation processes in response to detecting an unsafe element.

System for remediation of security vulnerabilities in computing devices using continuous device-level scanning and monitoring

Apparatus and methods for an artificial intelligence implemented termination by an auditor artificial intelligence ('aAI') of a malicious artificial intelligence (“mAI”) are provided. The aAI may detect a mAI on a network and determine which data the mAI can access on the network. The aAI may then degrade all or part of the data in various ways to prevent the mAI from producing valid content based on the data. The aAI may also create code and inject the code into the mAI to degrade the mAI's operations. As the mAI may rely on valid data to produce valid output, degrading the data may degrade the mAI.

AI implemented AI termination

A method for determining whether an existing customer is eligible for a zero-knowledge proof ('ZKP') application is provided. The method may include determining that the existing customer possesses a private key linked to an account profile associated with the existing customer absent provision of the private key. The determining may also include executing a behavior-scan on the account profile to confirm that a score of the behavior-scan is equal to or greater than a pre-determined score. In response to the determining that the existing customer is eligible for the ZKP application, the method may include generating the ZKP application by executing an encryption algorithm on the sensitive data of the account profile to output a digital zero-knowledge token for each of the sensitive data and auto-filling each input field in the ZKP application that is associated with sensitive data with the digital zero-knowledge token.

Preventing unauthorized exposure of sensitive data

Apparatus, methods and systems for continual biometric authentication of a user on a user device is provided. Methods may create, for the user, a biometric authentication reference model. Methods may store the biometric authentication reference model at a database associated with the user device. In response to an instantiation of a session by the user on the user device, methods may execute a continual biometric scan. The scanning may be executed until the session is terminated. Methods may identify a number of comparison points between the scanned and stored biometric identifiers. In response to determining that the number of identified comparison points is below a predetermined threshold number of comparison points, methods may initiate a passcode request. The passcode request may request a confirmation of a preset user-selected passcode. In response to determining that the passcode response does not match the preset user-selected passcode, methods may terminate the session.

Continual biometric authentication

A method for enabling continuity of access to a primary dataset stored in a computer network is provided. The method utilizes a node, a computer processor, and non-transitory computer-readable media storing computer-executable instructions. The node is connected to the computer network. The method includes configuring the mobile device for wireless connection to the computer network. The method includes configuring the mobile device to receive indication that the node is disconnected from the computer network and transmit a copy of the primary dataset or a portion thereof from the computer network to the node. The method includes configuring the node to enable operations on the dataset copy and keep a record of them. The method includes configuring the node to receive indication that the node is connected to the computer network and transmit the record to the computer network.

Encrypted distributed database on a mobile device

Aspects of the disclosure relate to logical map generation and injection. A computing platform may train a key value engine to assign logical map data priority values based on data use cases. The computing platform may receive first data and a first use case, which the computing platform may input into the key value engine to produce the logical map data priority values for the first data. The computing platform may generate, based on the logical map data priority values, a logical map for the first data. The computing platform may modify the first data by embedding, into a header of the first data, the logical map. The computing platform may send, to a recipient computing device, a portion of the modified first data and one or more commands to re-assemble the first data using the logical map stored in the portion of the modified first data.

Predictive value engine for logical map generation and injection

Aspects of the disclosure relate to an information reduction platform. The information reduction platform may generate data silos within a distributed ledger system. The information reduction platform may receive a data use case request from a client device corresponding to a first user. The information reduction platform may identify relevant data silos corresponding to the data use case request. The information reduction platform may direct the distributed ledger system to grant the client device access to the relevant data silos. The information reduction platform may monitor the efficiency of the relevant data silos. The information reduction platform may generate data velocity values (DVVs) for each relevant data silo. The information reduction platform may train a machine learning model to select a subset of relevant data silos for a particular data use case. The information reduction platform may create an iterative feedback loop to update the first machine learning model.

Dynamic information reduction using a velocity based machine learning model

A system includes a user device that can be used by a user to enter a virtual environment and at least one processor coupled to the user device. The processor is configured to record a plurality of real-world data interactions performed by the user and determine a real-world behavior of the user based on the recorded data interactions. The processor receives a request by the user to perform a data interaction in the virtual environment. The processor verifies whether the requested data interaction is in accordance with the recorded real-world behavior of the user. When the requested data interaction is not in accordance with the real-world behavior of the user, the processor verifies the data interaction in the real-world environment and allows the user to perform the data interaction in the virtual environment upon successful verification of the data interaction.

Interoperability of real-world and metaverse systems

A system is provided for detecting and remediating computing system breaches using computing network traffic monitoring. In particular, the system may identify one or more technology elements within a network as well as relationships between computing systems associated with said elements to determine a network topology. Based on the network topology, the system may use historical network traffic data associated with the technology elements in the network to generate predicted entry points and lateral pathways of a security breach that may take place within particular computing systems. Then, based on the technology elements affected as well as entry points and path traversals of the breach, the system may generate and/or implement one or more remediation steps to address existing and/or future breaches. In this way, the system may provide an intelligent method of augmenting the security of a computing network.

System for adaptive management of downstream technology elements

Systems, computer program products, and methods are described herein for dynamic communication channel switching for secure message propagation. The present invention may be configured to receive wireless signals from a plurality of devices and identify, from the plurality of devices and based on the wireless signals, a trusted device. The present invention may be configured to receive, from another device, a secure message, where the secure message includes information identifying a vulnerability in a network to which the trusted device is connected. The present invention may be configured to establish, based on receiving the secure message and using a first wireless communication interface, a communication link with a second wireless communication interface of the trusted device to establish a wireless data channel with the trusted device and transmit, via the wireless data channel, the secure message to the trusted device.

Systems and methods for dynamic communication channel switching for secure message propagation

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Dallas, TX, United States of America

Manu Jacob Kurian