This inventor holds 1 USPTO granted patent. Top assignee: International Business Machines Corporation. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Harshan Kumar Yennamaneni: Innovator in Cybersecurity
Introduction
Harshan Kumar Yennamaneni is a notable inventor based in Austin, TX, who has made significant contributions to the field of cybersecurity. He is recognized for his innovative approach to detecting malicious encryption through machine learning techniques. His work is pivotal in enhancing the security of computer systems against evolving threats.
Latest Patents
Yennamaneni holds a patent for a groundbreaking invention titled "Detection of malicious encryption based on machine learning." This invention encompasses a computer-implemented method, computer program product, and computer system designed to classify executing processes as malicious based on opcode data. The system retrieves live opcode data from processors executing a process and generates a malicious classification using a machine learning model. If the model classifies the process as malicious, the system restricts its execution, thereby protecting the integrity of the computing environment.
Career Highlights
Harshan Kumar Yennamaneni is currently employed at International Business Machines Corporation, commonly known as IBM. His role at IBM allows him to work on cutting-edge technologies and contribute to advancements in cybersecurity. His innovative mindset and technical expertise have positioned him as a valuable asset in the tech industry.
Collaborations
Yennamaneni collaborates with talented professionals in his field, including Angelo Danducci, II and Andrew S. Cassidy. These collaborations foster an environment of innovation and creativity, leading to the development of effective solutions in cybersecurity.
Conclusion
Harshan Kumar Yennamaneni is a distinguished inventor whose work in detecting malicious encryption through machine learning is shaping the future of cybersecurity. His contributions at IBM and collaborations with fellow innovators highlight his commitment to enhancing digital security.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
