Bank of America Corporation

Brandon Sloane

Jinyoung Nathan Kim

Regina Yee Cadavid

Nia Mack

Gloria Youngsook Joo

John H Kling

Brian Diederich

Vijaya L Vemireddy

Kevin A Delson

Michael Jacob Richardson

Charles Edward Dudley

Philip Lone Mintac

Rachel Yun Kim Bierner

Adriana Tache

Elliott Leonard Lillard

Srilekha Mudumbai Srinivasa

James Thomas MacAulay

Harvey Summers

Monika Kapur

Crystal M Sundaramoorthy

Sophie Morgan Danielpour

Ramkumar Korlepara

Serge Alejandro Neri

Lauren Jenae Alibey

Lydia Lambright

John Brian Costello

Michael Ogrinz

Gilbert M Gatchalian

Mark Earl Brubaker

Ryan Eric Davis

Cora Yan Quon

Ronald James Kuhlmeier

Pratap Dande

Siten Sanghvi

Albena Noveva Fairchild

Robert Nyeland Huggins

Eileen D Bridges

Joseph Benjamin Castinado

Sounil Yu

Naoll Addisu Merdassa

Lalit Dhawan

Michael Joseph Carroll

Daniel Joseph Serna

John Ryan Bowling

Aarron Gull

Levi Weldon Mcvay

Jesse Wiggins

Michael Thomas Malarkey

Tracie Buffington Wescott

Ram Korlepara

Wendell Allen Jenkins

Julio Cesar Nunez

Jinna Zevulun Kim

Nancy T Carrier

Kapil Chhibber

Richard Gar Bentley

Jacob B Dirr

Systems, computer program products, and methods are described herein for identification of obfuscated electronic data through placeholder indicators. The present invention is configured to electronically receive, from a computing device of a user, a request to obfuscate one or more data artifacts stored on a first database; retrieve, from a data obfuscation repository, one or more data obfuscation algorithms; implement the one or more data obfuscation algorithms on the one or more data artifacts; generate one or more placeholder indicators identifying the one or more data obfuscation algorithms implemented on the one or more data artifacts; create one or more data fields corresponding to the one or more masked data artifacts on the first database; store the one or more placeholder indicators in the one or more data fields; and update the first database with the one or more masked data artifacts and the one or more placeholder indicators.

System for identification of obfuscated electronic data through placeholder indicators

Systems, computer program products, and methods are described herein for generating and monitoring digital certificate rights in a distributed network. The present invention may be configured to receive a first request for certification of a first user, cause a first user device to display a first interface including one or more input fields for receiving information associated with the first user, receive data input by the first user to the one or more input fields of the first interface, and determine, based on the data, whether the first user satisfies requirements for the certification. The present invention may be configured to generate, based on determining that the first user satisfies the requirements for the certification, a non-fungible token certifying the first user, store the non-fungible token on a distributed ledger, and record, on the distributed ledger, the first user as owner of the non-fungible token.

Systems and methods for generating and monitoring non-fungible token rights in a distributed network

A system is provided for secured electronic data access through machine-learning based analysis of combined access authorizations. In particular, the system may maintain an access provisioning database which stores data regarding the data access authorizations that have been granted to one or more third party computing systems or entities. The system may further continuously monitor and aggregate electronic data from one or more electronic data streams and analyze the electronic data to intelligently generate probabilities for future events that create certain combinations of access authorizations that affect the security of the electronic data to which the third party computing systems have authorized access. In this way, the system may provide an effective way to manage access authorizations.

System for secured electronic data access through machine-learning based analysis of combined access authorizations

Systems, computer program products, and methods are described herein for implementing dynamic data obfuscation using pattern recognition techniques. The present invention is configured to electronically receive one or more data artifacts; electronically receive one or more masked data artifacts; initiate one or more machine learning algorithms on the one or more data artifacts and the one or more masked data artifacts; determine, using the one or more machine learning algorithms, a first set of patterns associated with the one or more data artifacts and a second set of patterns associated with the one or more masked data artifacts; determine a similarity index between the first set of patterns and the second set of patterns; and compare the similarity index with a predetermined threshold; determine one or more alternate data obfuscation algorithms; and implement the one or more alternate data obfuscation algorithms on the one or more data artifacts.

System for implementing dynamic data obfuscation using pattern recognition techniques

Embodiments of the present invention provide a secure edge device for contactless resource distribution and resource crediting from an automobile. In this way, the edge device may be affixed to or embedded within the side or the mirror of an automobile and be able to communicate with a third party device using near field communication. Upon authentication of a user, the edge device may communicate with the third party to transmit and present data about the resource distribution to the automobile display. The system allows for the user to select the resource distribution via the automobile display and provide a completion of resource distributions.

Secure edge device for contactless vehicle processing

Embodiments of the present invention provide a system for establishing permanent records based on micro-interactions. In particular, the system may be configured to identify initiation of an event based on receiving first set of interaction requests from user devices of one or more users, initiate a first set of micro-interactions, wherein initiation of the first set of micro-interactions comprises transferring resources to one or more resource pools associated with the one or more users, identify completion of the event based on receiving a second set of interaction requests from the user devices of the one or more users, revert the first set of micro-interactions, wherein reverting the first set of micro-interactions comprises transferring the resources back from the one or more resource pools associated with the one or more users, and create a permanent record associated with the initiation of the event and the completion of the event.

System and method for establishing permanent records based on microinteractions

A system is provided for securing electronic devices and electronic data using automated dynamic control modifications. In particular, the system may comprise one or more electronic devices or computing devices, each of which may have a protection module installed thereon, where the security module may be configured by the system. The security module may define a time period within which the computing device must establish an authenticated connection to an authorized and/or trusted network. If the time period elapses without an authenticated connection and/or upon the occurrence of certain predetermined conditions, the security module may perform a secure wipe of the data on the computing device. In this way, the system may provide a way to secure electronic devices and data within the network environment.

System for securing electronic devices and electronic data using automated dynamic control modifications

According to certain embodiments, a routing system comprises a memory operable to store historical data associated with a plurality of previous data processing transactions and a processor operably coupled to a network interface and the memory. The processor is configured to obtain the historical data associated with the plurality of previous data processing transactions transacted using a first routing between a first computing system and a second computing system and determine a pattern based on the historical data, the pattern determined based on machine learning. The processor is further configured to associate the pattern with a second routing between the first computing system and the second computing system, determine an upcoming data processing transaction corresponding to the pattern, and use the second routing to transact the upcoming data processing transaction.

Routing a data processing transaction based on machine learning

A system is provided for electronic data artifact testing using a hybrid centralized-decentralized computing platform. In particular, the system may comprise an artifact testing platform that may be accessed by users and computing devices within a network. Users may upload a data artifact to the artifact testing platform to be validated by the system. The system may then use a number of different validators (e.g., artificial intelligence-based modules) that may read the data artifact and/or the associated metadata and generate a confidence level based on the characteristics of the data artifact. The confidence levels from each validator may be aggregated to generate a final trust score for the data artifact. In this way, the system may provide a secure way to perform validation of data artifacts within a network environment.

System for electronic data artifact testing using a hybrid centralized-decentralized computing platform

Systems, computer program products, and methods are described herein for dynamic node analysis for network security response. The present invention is configured to detect, using a node analysis engine, a change in a network security protocol associated with a first node within a distributed network; extract information associated with the change in the network security protocol associated with the first node; identify one or more adjacent nodes with a first degree of separation from the first node in response to detecting the change; determine a first set of changes to the network security protocols for the one or more adjacent nodes based on at least the information associated with the change in the network security protocol of the first node; and automatically implement the first set of changes to the network security protocols of the one or more adjacent nodes with the first degree of separation from the first node.

System for dynamic node analysis for network security response

Systems, computer program products, and methods are described herein for implementing continuous authentication based on object location recognition. The present invention is configured to receive, from the computing device of a user, a request for primary authorized access; receive, via the augmented reality application, a real-time visual feed, wherein the real-time visual feed comprises one or more objects; determine one or more positional parameters associated with the one or more objects; determine that the one or more objects and the one or more positional parameters associated with the one or more objects meets one or more requirements for the primary authorized access; and transmit control signals configured to cause the computing device of the user to display a notification indicating that the user has been granted the primary authorized access.

System for implementing continuous authentication based on object location recognition

A homomorphic encryption-based testing computing system provides a risk-based, automated, one-directional push of production data through a homomorphic encryption tool and distributes the encrypted data to use in testing of applications. Data elements and test requirements are considered when automatically selecting a homomorphic encryption algorithm. A decisioning component selects an algorithm to use to homomorphically encrypt the data set and a push mechanism performs one or both of the homomorphic encryption and distribution of the encrypted data set to at least one intended host. Once delivered, the testing software and/or testing procedures proceed using the encrypted data set, where results of the testing may be stored in a data store. A validation mechanism may validate the test data against production data and communicates whether testing was successful.

Homomorphic encryption-based testing computing system

Embodiments of the present invention provide a system for authorizing entity users based on augmented reality and LiDAR technology. In particular, the system may be configured to receive a unique identifier from a user device of the user, where the unique identifier is scanned using LiDAR technology present in the user device of the user, determine location of the user based on the unique identifier, determine an entity device associated with the unique identifier and location of the user, perform authentication of the user using at least one authentication method, determine that the authentication is successful, and in response to determining that the authentication is successful, provide access to an entity device.

System and method for authorizing entity users based on augmented reality and LiDAR technology

Systems, methods, and computer program products are provided for monitoring network security in a mesh network. An example method includes receiving trust of service information relating to a user. The trust of service information includes one or more security details associated with at least one of a user device or a user network associated with the user. The method also includes determining a security level of a session involving the user based on the trust of service information relating to the user. The method further includes determining a security protocol for the session based on the determined security level. The security protocol determines at least one of a user access level or an additional security measure. The method still further includes causing an execution of the session based on the security protocol determined.

System and method for maintaining network security in a mesh network by analyzing IP stack layer information in communications

The present invention is generally related to systems and methods for providing an improved authentication and verification system through the use of compiled user data and unique user action data collected by the system from a prompted movement analysis. The system may collect and analyze multiple instances of user actions using intelligent machine learning techniques in order to identify patterns unique to the user. The system may then use this information in conjunction with other known information in order to determine the veracity of attempted user authentication or authorization requests.

System and method for intelligent authentication via object movement recognition

Growing community of inventors

Santa Barbara, CA, United States of America

Brandon Sloane