Bank of America Corporation

Petar Evan Puskarich

Dinesh Kumar Agrawal

Steven Nathan Greene

Srinath S Chakravarty

Kenneth L Boyd

Aravind Shankaragouda Singtalur

Stephen Richard Belton

Kerry M Vaughan

Elina Shkodnik

Jayachandra Varma

Vijaya L Vemireddy

Ganesh Bonda

Sachin Lad

Manmohan V Datla-Viswasai

Manmohan V Datla

Tonya Kyra Miller

A method for transferring goods from a digital+bitcoin (d+b) stored value transaction instrument-supporting vendor to a user device, or a device user, such as a d+b stored value transaction instrument is provided. The device may be registered with a cryptocurrency provider and a value allocation. The method may include receiving a user request configured for a cryptocurrency-based transaction; transmitting a consent to transact the cryptocurrency-based transaction and, in response to the transmitting, receiving, from the user device, a Quick Response (QR) code. The code specifies, at least: a) an amount of cryptocurrency; and b) a product or a service to be exchanged for the amount of cryptocurrency. The method may also receive a biometric characteristic that confirms the transaction. The method may then receive the amount of cryptocurrency via the d+b stored value transaction instrument, and transmit a confirmation of receipt of the cryptocurrency.

Stored value payment instrument, having payment card characteristics, for virtual cash transactions

Arrangements for an identity conflict detection model are provided. In some aspects, identity information associated with the user may be received from a computing device of a user. Graph data from a graph database that integrates data from a plurality of data sources, including public and private data, into a graph visualization may be retrieved. The received identity information may be mapped to the graph data by identifying, using a graph database engine, nodes and relationship vectors associated with the user. One or more clusters of the graph data may be determined. Weights indicating a degree of importance of a corresponding relationship vector in verifying a claimed identity of the user may be applied to the identified relationship vectors. A score may be generated indicating a likelihood that the claimed identity of the user is valid, and a corresponding notification may be sent.

Identifying conflicts in user authentication

Systems, computer program products, and methods are described herein for preventing synthetic misappropriation events over an electronic network. The present disclosure is configured to identify a user communication associated with a communication channel; identify a user account associated with the user communication; collect user account data associated with the user account; receive at least one user communication data via the communication channel; transmit the at least one user communication data to at least one internal communication component; receive at least one internal communication data from the internal communication component; generate a virtual avatar based on at least one of user account data, the at least one user communication data, or the at least one internal communication data; and transmit a virtual avatar interface component based on the virtual avatar to a user device associated with the communication channel, wherein the virtual avatar comprises the at least one internal communication data.

Systems and methods for preventing synthetic misappropriation events over an electronic network

A system prevents incorrect deployment of computer code in remote enterprise servers. The system includes a source code repository for housing computer code received from developers and housing software that maintains the code and develops version control information (VCI) for same. The system includes a continuous integration/continuous deployment (CICD) pipeline orchestrator and arranges deployment of the computer code by determining servers to which the code will be deployed. A metatag affixing engine and database creates metatag information corresponding to the computer code and stores the metatag information. The metatag information qualifies the code for deployment at the servers, as follows. A code management system schedules deployment. Prior to deployment, each of the servers reads the metatag implemented on the code and compares the metatag on the code to determine whether the metatag matches the metatag stored at the database. When the metatags matches at the server, the computer code is deployed.

Enterprise server image (ESI) meta tagging

An apparatus for sorting and ordering data based on filtering parameters comprises a memory operable to store a digital folder and a processor operably coupled to the memory. The processor is configured to receive a transmission comprising verification of an interaction session established between a first user and an entity and to receive file information corresponding to one or more files stored in the digital folder from an external exchange. The processor is further configured to generate a file vector comprising the one or more files of the digital folder that is sorted based on applying a selection factor to the received file information for each of the one or more files. The processor is further configured to send a transmission to a user device comprising the file vector and an indication to utilize a first file of the file vector during the interaction session.

System and method for determining a volatile file based on a selection factor

A system is provided for an artificial intelligence-based engine for generating recommendations for resource allocation. In particular, the system may comprise an artificial intelligence module configured to access one or more data sources containing resource data associated with one or more users. Based on the resource data, the system may identify a group of analogous users with respect to a specific user. The system may then generate one or more recommendations for a resource allocation associated with the user. The one or more recommendations may then be presented on a graphical interface of a user device associated with the user. In this way, the system may provide an AI-driven method for efficient allocation of resources.

Growing community of inventors

Murphy, TX, United States of America

Petar Evan Puskarich