Sunnyvale, CA, United States of America

Amit Mokal

This inventor holds 1 USPTO granted patent. Top assignee: Symantec Corporation. Active years: 2016.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Amit Mokal. Retrieved from https://idiyas.com/inventor/amit-mokal

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 9(Granted Patents)


Company Filing History:


Years Active: 2016

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1 patent (USPTO):Explore Patents

Title: Amit Mokal: Inventor in Data Loss Prevention

Introduction

Amit Mokal is an inventor based in Sunnyvale, California. His work includes a patented approach to improving data loss prevention systems by identifying emerging threats through patterns in partial policy violations.

Latest Patents

Mokal is associated with 1 patent, titled “Systems and Methods for Optimizing Data Loss Prevention Systems.” The invention describes monitoring data distributed through one or more channels and analyzing it for partial violations of data loss prevention policies. By correlating multiple partial violations, the system can identify a previously undetected threat and adjust the policies to help detect similar threats in the future.

Career Highlights

Mokal is associated with Symantec Corporation. His patent focuses on making data loss prevention systems more responsive to threats that may not be apparent from any single policy violation.

Collaborations

Mokal’s listed coworker is Binu Chandrasekara Pillai. Their shared professional context is associated with Symantec Corporation and work related to data protection.

Conclusion

Amit Mokal’s patented work presents a method for using correlated signals to improve data loss prevention policies and strengthen future threat detection.

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]
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