Bank of America Corporation

Ramkumar Korlepara

Brandon Sloane

Jinyoung Nathan Kim

Regina Yee Cadavid

Nia Mack

Gloria Youngsook Joo

Michael Jacob Richardson

Philip Lone Mintac

Elliott Leonard Lillard

Srilekha Mudumbai Srinivasa

Dustin Paul Stocks

Sanjay Arjun Lohar

Eric Eugene Sifford

David Aloysius Cuka

Ashley L Jones

Kayla Ashley Rux

Viswanathan Venkatasubramanian

Arrangements for providing software vulnerability analysis and monitoring are provided. In some aspects, software bill of materials (SBOM) data may be received and software attributes may be extracted from the SBOM data. Author data may be received and analyzed using natural language processing and/or machine learning to identify author attributes. Current event or vulnerability data may be received. In some examples, one or more machine learning models may be executed to determine a confidence score associated with the software being analyzed. For instance, software attributes, author attributes, and current event data may be used as inputs in the machine learning model and a confidence score may be output. Based on the confidence score, one or more alerts may be generated and transmitted to one or more enterprise organization computing devices.

Multi-computer system for performing vulnerability analysis and alert generation

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

An Automated Teller Machine (ATM) terminal receives a transaction request from a user. The ATM terminal triggers a camera to capture a first image of the authentication media item presented by the user, where the first image of the authentication media item is embedded with a first unique code. The ATM terminal compares the first image of the authentication media item with a second image of the authentication media item that is associated with the user, where the second image of the authentication media item is embedded with a second unique code for verifying the user. The ATM terminal determines whether the first unique code corresponds to the second unique code. The ATM terminal conducts the transaction request if it is determined that the first unique code corresponds to the second unique code.

Wired multi-factor authentication for ATMs using an authentication media

Embodiments of the invention are directed to systems, methods, and computer program products for providing intelligent analysis of technical and non-technical data to validate instances of permitted use of such brand elements and generate alerts for instances of non-permitted use of such brand elements. The system provides a single portal view for upload of relevant data and transmission of analysis results. The invention utilizes a permissioned distributed register database architecture for the secure storage and tokenization of brand elements and retrieval of validation and ownership information. The invention further includes the capability to recommend and automate remedial measures to prevent continued unauthorized use of brand elements.

Distributed systems for intelligent resource protection and validation

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 determine that a user has accessed an entity application provided by an entity via a user device, receive a unique identifier from the user device of the user, via the entity application, 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.

A system for verifying a user operating an Automated Teller Machine (ATM) sends an authentication media item to a user device associated with the user when the ATM receives a transaction request. The system receives, from the ATM, a first image of the authentication media item when the authentication media item is presented to the ATM. The system compares the first image of the authentication media item with a second image of the authentication media item stored in a user profile associated with the user. The system extracts a first unique code from the first image of the authentication media item, and a second unique code from the second image of the authentication media item. The system determines whether the first unique code corresponds to the second unique code. The system approves the transaction request if it is determined that the first unique code corresponds to the second unique code.

Growing community of inventors

McKinney, TX, United States of America

Ramkumar Korlepara