Bengaluru, India

Zaid Imam

This inventor holds 1 USPTO granted patent. Top assignee: Radware, Ltd.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Zaid Imam. Retrieved from https://idiyas.com/inventor/zaid-imam

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 = 3.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Zaid Imam - Innovator in CAPTCHA Technology

Introduction

Zaid Imam is a notable inventor based in Bengaluru, India. He has made significant contributions to the field of technology, particularly in the development of systems that enhance user verification processes.

Latest Patents

Zaid Imam holds a patent for a "System and method for classifying human and non-human traffic using behavior authenticity." This innovative method involves performing a completely automated public Turing test to distinguish between computers and humans, commonly known as CAPTCHA. The process includes receiving a request from a service server to initiate a CAPTCHA for a user node, generating an image of a path, and creating targets and objects to challenge the user. The system analyzes user interaction data to determine if the user node is operated by a human, ensuring a robust verification process. He has 1 patent to his name.

Career Highlights

Zaid Imam is currently employed at Radware, Ltd., where he continues to work on innovative solutions in technology. His expertise in CAPTCHA technology has positioned him as a valuable asset in his field.

Collaborations

Zaid collaborates with talented individuals such as Rakesh Thatha and Pavan Thatha, contributing to a dynamic work environment that fosters innovation.

Conclusion

Zaid Imam's work in developing advanced CAPTCHA systems showcases his commitment to enhancing technology and user security. His contributions are paving the way for more effective methods of distinguishing human users from automated systems.

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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