Pune, India

Aditya Kumar

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Snowflake Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Aditya Kumar. Retrieved from https://idiyas.com/inventor/aditya-kumar-qjazwhou

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Aditya Kumar: Inventor in Pune

Introduction

Aditya Kumar is an inventor based in Pune, India, whose patent work addresses the detection of malicious network activity in virtual private cloud environments. His listed patent focuses on using machine learning to identify potential beaconing in virtual private network traffic.

Latest Patents

Kumar is associated with 1 patent, titled “Detection of Malicious Beaconing in Virtual Private Networks.” The invention describes a computer-implemented method that accesses virtual private cloud flow logs and filters the network traffic data. It extracts features from the filtered logs, trains one or more machine learning models, and applies those models to identify potential beacons. The method then generates an alert notification identifying the potential beacons and communicates it to an alerting system.

Career Highlights

Kumar works at Snowflake Inc. His patent reflects work at the intersection of cloud networking, cybersecurity, and machine learning, with a focus on detecting suspicious communication patterns.

Collaborations

Kumar’s listed coworkers include Sandeep Chandana and Ameya Mahesh Sanzgiri. The available information identifies them as coworkers but does not specify their roles in the patent.

Conclusion

Aditya Kumar’s patent applies machine learning to help detect malicious beaconing in virtual private cloud traffic, highlighting a practical approach to cloud network security.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Loading…