London, United Kingdom

Lucas Sonnabend

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Abnormal Ai, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Lucas Sonnabend. Retrieved from https://idiyas.com/inventor/lucas-sonnabend

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

Calculating rank
USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Lucas Sonnabend and Risk Detection Across Digital Services.

Introduction

Lucas Sonnabend is an inventor based in London, United Kingdom. His patent work addresses enterprise security by examining digital activity across multiple services to identify potential threats.

Latest Patents

Sonnabend is associated with 1 patent, titled “Approaches to Documenting and Visualizing Indications of Risk Discovered Through an Analysis of Digital Activities Performed Across Different Services and Using the Same for Detecting Threats.”

The invention describes a network-accessible platform that monitors activity across services and accounts to identify security threats in real time. It applies machine-learning models trained to recognize normal behavior for individual employees, either within a single service or across multiple services. The models can be trained and applied autonomously to detect, characterize, and catalog activities that may indicate a threat.

Career Highlights

Sonnabend is associated with Abnormal AI, Inc. His patent reflects work on applying machine learning to enterprise security monitoring and threat detection.

Collaborations

Sonnabend’s coworker Abhijit Bagri is also associated with his professional context. The available information does not specify their roles in developing the patent.

Conclusion

Lucas Sonnabend’s patent focuses on using machine learning to analyze activity across digital services and help enterprises identify potential security 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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