IDiyas

For the Inventor, By the Inventor

Palo Alto, CA, United States of America

Howie Xu

USPTO Granted Patents = 9 

Average Co-Inventor Count = 7.9

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:

goldMedal9 out of 311 
 
Zscaler, Inc.
 patents

Years Active: 2022-2025

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9 patents (USPTO):
1. 12348525 - Generating zero-trust policy for application access using machine learning (2025-07-01),
2. 12174956 - Pattern similarity measures to quantify uncertainty in malware classification (2024-12-24),
3. 12111928 - Utilizing machine learning to detect malicious executable files efficiently and effectively (2024-10-08),
4. 11861472 - Machine learning model abstraction layer for runtime efficiency (2024-01-02),
5. 11803641 - Utilizing Machine Learning to detect malicious executable files efficiently and effectively (2023-10-31),
6. 11785022 - Building a Machine Learning model without compromising data privacy (2023-10-10),
7. 11755726 - Utilizing machine learning for smart quarantining of potentially malicious files (2023-09-12),
8. 11669779 - Prudent ensemble models in machine learning with high precision for use in network security (2023-06-06),
9. 11475368 - Machine learning model abstraction layer for runtime efficiency (2022-10-18),

Title: Innovator Spotlight: Howie Xu

Introduction

Howie Xu is an accomplished inventor based in Palo Alto, California. With a remarkable portfolio of nine patents, his work focuses on innovative solutions in cybersecurity and machine learning. His contributions have significantly impacted the way enterprises manage application access and classify potential cyber threats.

Latest Patents

Howie Xu's latest patents showcase his expertise in generating security policies through advanced technology. One notable invention is a system for generating zero-trust policies for application access using machine learning. This system involves obtaining log data from multiple users to understand how applications are utilized. By analyzing user-groups and app-segments, it efficiently establishes access policies that adapt over time based on ongoing log data.

Another key patent centers on utilizing pattern similarity measures to assess uncertainty in malware classification. This system classifies content as benign or malicious by comparing patterns associated with the content against known data. It includes mechanisms to discard classifications that do not meet a predefined threshold for accuracy, enhancing the reliability of malware detection.

Career Highlights

Howie Xu currently contributes his talents to Zscaler, Inc., a prominent company specializing in cloud security solutions. His work at Zscaler enables organizations to safeguard their applications and data while streamlining their access protocols. His dedication and innovative mindset continue to drive advancements in cybersecurity.

Collaborations

Throughout his career, Howie has collaborated with talented individuals such as Rex Shang and Changsha Ma. These partnerships have likely fostered a dynamic work environment, facilitating the development of groundbreaking technologies and enhancing the overall innovation process within their projects.

Conclusion

Howie Xu is a notable figure in the field of innovation, with a solid track record of patents that reflect his deep understanding of modern technology's challenges. His contributions at Zscaler, Inc. and his collaborative initiatives demonstrate his commitment to advancing cybersecurity through innovative solutions. As the digital landscape continues to evolve, inventors like Howie play a crucial role in shaping a safer and more secure future.

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