Bank of America Corporation

Other

Michael Robert Young

Manu Jacob Kurian

Vinesh Patel

Jo-Ann Taylor

Tomas Mata Castrejon, Iii

Michael James Sbandi

Joel Richard Townsend

David Nardoni

Kelly Renee-Drop Keiter

Melissa Gordon Glenn

George Albero

Cody Dean Searl

Rick Wayne Sumrall

Richard Martin Seymour Scot

Todd Lovinger

Julie Lovinger

Janet Senatore

Richard Scot

James J Siekman

Sanjay Arjun Lohar

Kyle A Mayers

Neal Aaron Slensker

Daniel J August

Adam Kristian King

Casey L Flaherty

Zarna Arun Patel

Gregory M Hyde

Frederick R Hazzard

Dustin Paul Stocks

Gregory E Young

Ana Maxim

Benjamin F Tweel

Sophie Morgan Danielpour

Robert Cain Durbin, Jr

Allison Dolores Baker

Ronald J Hoffman

Son Huynh

Chiamaka Azih

Rebbecca Danielle Nelson

Kelly Keiter

Sarah G Troxler

Amy L Arnott

Alexander Hutton

Madeline Deneen Fest

Anthony D Lange

Tarsha Salley

Joshua Shi

Joshua Nathanael Jenkins

Vicky Kivuti

Henrry Batista

Angelica Barrera

A system is provided for remediating computing system breaches by reversibly distributing data to a plurality of edge points in a distributed network. In particular, the system may intelligently track network data to predict breach vector pathways and may track various types of network traffic data for computing systems within the network. Based on the network traffic data, the system may generate a network topology, mapping the various types of network connections across the computing systems in the network environment as well as the datasets that were transferred across such connections. In the event of a system breach, the system may divide each dataset into a plurality of partial data packets. The system may transmit each partial data packet to a different user device or computing device in the network. After the breach is remediated, the system may recall the individual data packets and reassemble the datasets for future use.

Establishing dynamic edge points in a distributed network for agnostic data distribution and recovery

A processor receives request to generate content using an AI tool and generates the requested content using the AI tool. The processor detects that the AI tool used a first AI module and a second AI module associated with the AI tool to generate the requested content. In response, the processor accesses, from a memory, a first digital signature associated with the first AI module and a second digital signature associated with the second AI module. The processor generates a combined digital signature based on the first digital signature and the second digital signature and embeds the combined digital signature in the generated content to generate a marked content.

System and method for digitally marking artificial intelligence (AI) generated content

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

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

A system is provided for monitoring real-time data inputs across multiple channels, determining potential impacts to a network or entity policy taxonomy, and taking one or more automated, responsive actions based on determined impacts. In this way, the system described herein is able to optimize system processes and system protections on an enterprise-wide scale in response to current events, policy or regulation changes, or predicted measures taken by private or public entities that may necessitate adaptation of one or more workflow processes or technology taxonomies, either upstream or downstream of the system itself.

Event based network micro-segmentation modeling for user authenticated access to distributed network system segments

A system for generating an identity-based Non-Fungible Token (NFT) that uses, as a least a portion of the input file, a verified identity of the user. Once generated, the identity-based NFT is stored within a distributed trust computing network, which provides for verifying the authenticity and unalerted state of the NFT. Subsequently, the identity-based NFT can be accessed via the distributed trust computing network to verify the identity of the user. Additionally, the NFT may use other verified data as a portion of the input file, such as verified identity of users having a familial relationship with the user, verified life events, and/or verified user preferences. Further, the NFT may include one or more markers that identify a familial relationship and are configured to link the NFT to other NFTs associated with the related users.

System for generating an authentication credential using non-fungible tokens

Systems, computer program products, and methods are described herein for tracking resources using non-fungible tokens. The present invention is configured to receive a request for a non-fungible token (NFT) for a resource, wherein the resource is a physical object; initiate a non-fungible token (NFT) generator on the resource; generate a unique digital signature for the resource by generating a scanned image of the resource and identifying one or more features of the resource from the image; generate an NFT comprising a unique digital signature for the resource; determine a physical condition of the resource; store the physical condition of the resource in a first metadata layer associated with the NFT; and record the NFT for the resource on a distributed ledger.

System for tracking resources using non-fungible tokens

A system for communicating email messages using tokens receives a request to send an email message to a receiver. The email message is associated with a sender's email address. The system determines whether the sender's email address is associated with a token from a plurality of tokens stored in a token-email address mapping table. The system generates a particular token for the sender's email address in response to determining that the sender's email address is not associated with a token, where the particular token uniquely identifies the sender's email address. The system sends the email message using the particular token instead of the sender's email address, such that the sender's email address remains anonymous from the perspective of the receiver.

Information security system and method for phishing threat prevention using tokens

A device is configured to receive an interaction request from the first user that identifies an address for a contract that is stored in a blockchain and to access machine-executable instructions associated with the contract. The device is further configured to determine a projected number of virtual resources and real-world resources for the first user based on a number of available resources for the first user and the machine-executable instructions for transferring resources between the first user and the second user in the contract. The device is further configured to output the projected number of virtual resources to the first user and to output the projected number of real-world resources to the first user. The device is further configured to initiate a transfer of resources between the first user and the second user.

Resource transfer validation within a metaverse

A system for network augmentation using virtual reality is provided. The system may include uploading data relating to a network, to a network augmentation system. The system may include retrieving data relating to network standards. The system may include retrieving data relating to historical network vulnerabilities. The system may include an artificial intelligence ('AI') module. The AI module may be configured to analyze the network and determine possible network vulnerabilities. The AI module may be configured to output a three-dimensional map of the network to a display module. The three-dimensional map may be displayed on the display module. The three-dimensional map may include the identified possible network vulnerabilities. The system may be further configured to overlay solutions to the possible network vulnerabilities on the three-dimensional map.

Augmented and virtual reality security planner

An apparatus for geotagging users for authentication comprises a processor associated with a server. The processor is configured to generate a first geotag based on residence information associated with a first user and to transmit the first geotag to a first user device for assignment to a first avatar associated with the first user in a virtual environment. The processor is further configured to receive an interaction request to authorize an interaction between the first avatar and a second avatar associated with a second user. The processor is further configured to compare a first historical log to a second historical log to determine that the first avatar is associated with the first user. In response to determining that the first avatar is associated with the first user, the processor is further configured to conduct a first step in authorizing the interaction between the first avatar and the second avatar.

System and method for geotagging users for authentication

Methods and system are provided for tuning an artificial intelligence ('AI') system. The methods and system may include training the AI system to identify distinct users their distinct interactions. The training may include receiving datatsets related to a plurality of distinct users and their plurality of distinct interactions. The AI system may parse the datasets to arrive at a plurality of sets of distinct interactions performed by respective distinct users, each distinct interaction may be associated with a level of security clearance. The AI system may receive a request from a user to access information. The methods and system may include the AI system initiating a communication with the user. The communication may be compared with the each set of distinct interactions until a user and level of security can be identified. The AI system may prompt the user to access information on the level of security clearance identified.

Tunable AI system and models associated therewith based on security clearance level

A device is configured to receive a user input from a user device indicating a first gesture performed by a user in a real-world environment and to identify a first token within a gesture map corresponding with the first gesture. The device is further configured to identify a second gesture performed by an avatar within a virtual environment that is associated with the user and to identify a second token within the gesture map corresponding with the second gesture. The device is further configured to combine the first token and the second token to generate an authentication token and to verify an identity of the user based on the authentication token.

Gesture-based authentication tokens for information security within a metaverse

A device configured to receive a request for processing a digital document that identifies a target data structure. The device is further configured to obtain the digital document and to process the digital document to identify objects within the digital document. The device is further configured to input the digital document into a machine learning model that is configured to output contextual metadata for the digital document based on the digital document. The contextual metadata describes attributes of the identified objects within the digital document. The device is further configured to populate a first subset of entries in the target data structure with identifiers for the objects identified within the digital document and to populate a second subset of entries in the target data structure with the contextual metadata. The device is further configured to send the populated target data structure to the network device.

Contextual analysis for digital image processing

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Davidson, NC, United States of America

Michael Robert Young