Dell Products Inc.

Emc IP Holding Company LLC

Muhammed Mohiuddin

Hung The Dinh

Manikandan Pammal Rathinavelu

Sabu K Syed

Puneet Kumar Arora

Tarun Gupta

Panguluru Vijaya Sekhar

Rajesh Krishnan

Kannappan Ramu

Seshadri Srinivasan

Vijaya Panguluru Sekhar

Kiran Kumar Pidugu

Sourav Datta

Geetha Venkatesan

Farook Shaik

Nilay Mishra

Ranjani Muthyam Venkata

Vishnu Prabhu Sundarrajan

Matthew Christopher Frank

Lakshman Kumar Tiwari

Reshma Nair

Gaurav Suwal

A method includes receiving code for computer programming, determining whether at least a portion of the code comprises at least one vulnerability, and comparing at least the portion of the code comprising the at least one vulnerability to a knowledge base. The knowledge base comprises (i) a plurality of code fragments comprising a plurality of vulnerabilities; and (ii) a plurality of solutions to prevent corresponding ones of the plurality of vulnerabilities. The method further includes identifying, based on the comparing, a code fragment of the plurality of code fragments matching at least the portion of the code comprising the at least one vulnerability, and executing a solution of the plurality of solutions corresponding to the identified code fragment to prevent the at least one vulnerability in at least the portion of the code.

Code vulnerability detection and remediation

A method includes monitoring and logging a plurality of transactions between one or more clients and an application programming interface gateway, and analyzing data corresponding to the plurality of transactions using one or more machine learning techniques. The method further includes determining, based on the analyzing, one or more issues corresponding to one or more application programming interfaces associated with the application programming interface gateway and resulting from one or more of the plurality of transactions. In the method, one or more corrective actions are performed to address the one or more issues.

Application programming interface platform management using machine learning

Methods, apparatus, and processor-readable storage media for transaction visibility framework implemented using artificial intelligence are provided herein. An example computer-implemented method includes monitoring data related to a transaction flow across multiple layers of an enterprise system; determining which of the multiple layers correspond to at least one detected problem within the transaction flow by applying artificial intelligence techniques to the data; generating a visualization of the transaction flow, wherein generating the visualization comprises generating a sequential view of the transaction flow, generating one or more parallel sub-transaction flows pertaining to one or more dependencies of the transaction flow, and producing a visual indication of the detected problem; determining, based on analyzing the generated visualization, one or more automated actions related to the detected problem and the determined layer of the enterprise system corresponding to the detected problem; and automatically initiating the one or more automated actions.

Transaction visibility frameworks implemented using artificial intelligence

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Cedar Park, TX, United States of America

Muhammed Mohiuddin