Bank of America Corporation

Lakshminarayana Vishnubhotla

Manu Jacob Kurian

Pierre Jacques Bouchard

John L Reilly

Systems, computer program products, and methods are described herein for systems and methods for identifying and verifying software component storage locations in a network environment. The present invention is configured to identify and verify software locations in a network environment by generating a network resource component tracking database associated with a network environment, the network resource component tracking database comprising a plurality of location indicators associated with a component; generating a plurality of location requests based on the plurality of location indicators; transmitting the plurality of location requests to a plurality of locations associated with the plurality of location indicators; receiving a plurality of location responses based on the plurality of location requests; and updating the network resource component tracking database based on the plurality of location responses.

Systems and methods for identifying and verifying software component storage locations in a network environment

An artificial intelligence (AI) and machine learning (ML) (collectively 'AI/ML') system that provides dynamic detection of potential of resource updates, authentication of the resources updates, and tracking of the links between resources through the use of resource signatures. The resource signatures may provide an indication of the application information, the resources that are accessed by the application, and the resources that access the application. As such, the AI/ML system can monitor and track the applications and updated resources that interact with the applications in order to identify any potential security issues, as well as to optimize and standardize the use of resources by the users when developing applications.

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Skillman, NJ, United States of America

Lakshminarayana Vishnubhotla