San Jose, CA, United States of America

Sebastien Soudan

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Reken Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sebastien Soudan. Retrieved from https://idiyas.com/inventor/sebastien-soudan-xadyrcn3

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: Sebastien Soudan: Inventor of a Generative AI Fraud Detection Technique

Introduction

Sebastien Soudan is an inventor based in San Jose, California, and is associated with Reken Corporation. His work includes a patent addressing how users can be alerted to potentially fraudulent electronic communications that may contain content produced using generative artificial intelligence.

Latest Patents

Soudan is credited with 1 patent: “Detecting Fraudulent Electronic Communications.” The invention obtains the content of an electronic communication and assesses its risk level based on the likelihood that the content was produced using generative AI. When a user selects the communication and its risk level exceeds a defined fraudulence threshold, the system presents a notification indicating that the risk is high.

Career Highlights

The patent describes a user-facing approach to identifying potentially deceptive communications. By connecting risk assessment with a notification shown when a user selects a message, the technique aims to make relevant warnings available at the point of interaction. Soudan is associated with Reken Corporation.

Collaborations

Shuman Ghosemajumder and Richard Griffiths are identified as Soudan’s coworkers. Their shared professional association provides context for his work at Reken Corporation.

Conclusion

Sebastien Soudan’s patented technique focuses on warning users about electronic communications that may involve generative AI and exceed a fraudulence risk threshold.

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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