Bank of America Corporation

John L Reilly

Manu Jacob Kurian

Pierre Jacques Bouchard

Lakshminarayana Vishnubhotla

Systems that aid in application development, in particular, to the use of a resource ontology system that includes an interconnected map that links resources that interact with each other, as well as the individual components of the resources. The resource ontology system further stores the authentication of the resources, including if the resources are validated for use within application development, as well as whether or not the resources meet or fail to meet other resource requirements. The resource ontology system allows a user developing an application to access resources for use in the application development, which are trusted resources, and allows the organization to aid in standardizing and optimizing the use of resources that users may use in developing applications. Furthermore, the resource ontology system allows the user to more easily access and use secondary resources that are linked with resources already used by the user for application development.

Electronic system for authenticating permissions between interconnected resources

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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Charlotte, NC, United States of America

John L Reilly