Tel Aviv, Israel

Adir Gruss

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Adir Gruss. Retrieved from https://idiyas.com/inventor/adir-gruss

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


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Adir Gruss: Inventor in AI and Network Security.

Introduction

Adir Gruss is an inventor based in Tel Aviv, Israel, whose work addresses security challenges in AI applications guided by large language models. He is associated with Cato Networks Ltd.

Latest Patents

Gruss is named on one 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 the model processes a session, the system traces control or data flow through transformer attention heads to identify output tokens that stem from input supplied by an external resource. It can then trigger a security action intended to prevent that resource from introducing adversarial input into the application. Gruss is associated with 1 patent.

Career Highlights

Gruss’s listed work connects AI application security with network protection. His patent focuses on tracing how external inputs influence model outputs and using that information to help prevent adversarial activity.

Collaborations

The provided information lists Itay Ravia and Ofir Abu as Gruss’s coworkers at Cato Networks Ltd. The patent description also reflects a system-level approach to security, combining language-model processing analysis with protective actions.

Conclusion

Adir Gruss’s patent work focuses on securing LLM-guided applications by tracing the influence of external inputs and responding to potential adversarial threats.

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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