Raanana, Israel

Omer Medan

This inventor holds 1 USPTO granted patent. Top assignee: Fortinet, Inc.. Active years: 2026.

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

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

Calculating rank

Average Co-Inventor Count = 1.0

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Omer Medan and Kubernetes Security Innovation.

Introduction

Omer Medan is an inventor based in Raanana, Israel, and is associated with Fortinet, Inc. His patent work addresses the detection of abnormal processes and network activity in Kubernetes environments.

Latest Patents

Medan is credited with 1 patent: “Federated Abnormal Process Detection for Kubernetes Clusters.” The invention receives behavioral baselines for containers from a cluster agent and monitors container processes and network traffic for deviations. When abnormal behavior exceeds a threshold, the system sends details about the affected container and its behavior to the agent. The agent can then create and distribute a new detection rule to affected Kubernetes managers.

Career Highlights

Medan’s listed invention focuses on helping Kubernetes managers identify emerging abnormal behavior across container clusters. Its federated approach enables detection rules to be updated and shared among affected managers.

Collaborations

Medan’s listed coworker is Philip Derbeko. The patent describes coordination between cluster agents and Kubernetes managers, supporting the distribution of updated rules across affected systems.

Conclusion

Omer Medan’s patent reflects an approach to strengthening Kubernetes security through baseline monitoring, anomaly detection, and coordinated rule updates.

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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