Ramat Gan, Israel

Omer Doron

This inventor holds 1 USPTO granted patent. Top assignee: Cato Networks Ltd. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Omer Doron. Retrieved from https://idiyas.com/inventor/omer-doron-qsy5gvg7

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

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Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Omer Doron: Advancing Security for AI and Large Language Models.

Introduction

Omer Doron is an inventor based in Ramat Gan, Israel. His patent work addresses security risks in AI applications guided by large language models (LLMs). He is associated with Cato Networks Ltd.

Latest Patents

Doron is named on 1 patent, titled “Network Security for Machine Learning Models Including Large Language Models (LLMs).” The invention describes a system that monitors interactions with an LLM-guided application while a session is being processed. It traces control or data flow through the model’s transformer attention heads to identify output tokens that stem from input supplied by an external resource. The system can then trigger a security action intended to prevent that resource from feeding adversarial input into the application.

Career Highlights

Doron’s listed patent reflects work at the intersection of machine learning and cybersecurity. His association with Cato Networks Ltd. connects his professional profile with a company focused on network security.

Collaborations

Doron’s listed coworkers include Itay Ravia and Adir Gruss. The patent’s focus on tracing external inputs and responding to potential adversarial content illustrates the collaborative importance of security expertise in developing protections for AI systems.

Conclusion

Omer Doron’s patent contribution centers on identifying potentially adversarial external inputs in LLM-guided applications and triggering safeguards against them.

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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