Bengaluru, India

Parag Pote

This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Aryaka Networks, Inc.. Active years: 2026.


 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Parag Pote

Introduction

Parag Pote is a notable inventor based in Bengaluru, India. He has made significant contributions to the field of data loss prevention through his innovative patent. His work reflects a deep understanding of network traffic flow and the complexities involved in ensuring data integrity.

Latest Patents

Parag Pote holds a patent titled "Intelligent composite and roll-up analysis of en route traffic flow for efficient data loss prevention." This patent presents systems and methods designed to eliminate inefficient data loss prevention (DLP) caused by redundant consideration of individual traffic characteristics. The method involves intercepting en route traffic flow between traffic exchangers, detecting various primitive traffic characteristics, and analyzing them collectively. This analysis allows for accurate data loss inspection using multiple data loss inspectors, ensuring the integrity of the en route traffic flow.

Career Highlights

Throughout his career, Parag has worked with prominent companies such as Aryaka Networks, Inc. and Alcatel Lucent. His experience in these organizations has equipped him with the skills necessary to innovate and develop effective solutions in the realm of data management and network security.

Collaborations

Parag has collaborated with talented individuals in his field, including Srinivasa Addepalli and Chetan Shivakumar. These collaborations have likely contributed to the advancement of his projects and the successful implementation of his ideas.

Conclusion

Parag Pote is a distinguished inventor whose work in data loss prevention showcases his innovative spirit and technical expertise. His contributions are valuable to the ongoing development of efficient data management systems.

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