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For the Inventor, By the Inventor

Cupertino, CA, United States of America

Yijou Chen

This inventor holds 164 USPTO granted patents and 17 published patent applications, primarily in Data Security Monitoring (CPC class G06F16-9024). Top assignees: Fortinet, Inc., Lacework Inc., Paraccel LLC. Active years: 2012-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yijou Chen. Retrieved from https://idiyas.com/inventor/yijou-chen

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

USPTO Granted Patents = 164 

% Patents Active = 90.2

Average Co-Inventor Count = 4.0

ph-index = 16

Forward Citations = 1,563(Granted Patents)

Forward Citations (Not Self Cited) = 449(Dec 10, 2025)


Inventors with similar research interests:


Company Filing History:

goldMedal111 out of 1,155 
 
Fortinet, Inc.
 patents
silverMedal37 out of 45 
 
Lacework Inc.
 patents
bronzeMedal7 out of 18 
 
Paraccel LLC
 patents
4. 1 out of 17 
 
Actian Corporation
 patents
5. 1 out of 2 
 
Actian Sub III, Inc.
 patents
where one patent can have more than one assignee

Years Active: 2012-2026

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Areas of Expertise:
Data Ingestion
Security Monitoring
Anomaly Detection
Cloud Compliance
Threat Intelligence
User Risk Assessment
Edge Device Monitoring
Generative AI
Risk Scoring
Data Platform
Compute Environment
Application Monitoring
164 patents (USPTO):Explore Patents
1. 12771701 - Approval workflows for anomalous user behavior (2026-10-20),
2. 12764148 - Using crowdsourced data for alert management in an anomaly detection framework (2026-10-13),
3. 12764146 - Deploying a security framework using temporary authorization credentials (2026-10-13),
4. 12764145 - Providing immediate access to vulnerable resources identified by a deployment monitoring tool (2026-10-13),
5. 12764144 - Leveraging generative artificial intelligence (AI) to prevent data exfiltration (2026-10-13),
6. 12764142 - Identifying anomalous behavior of end users or end user devices (2026-10-13),
7. 12750383 - Vulnerability management for a cloud environment using software development information (2026-09-29),
8. 12750382 - Leveraging a large language model ('LLM') to proactively prevent misconfigurations (2026-09-29),
9. 12744802 - Detecting shadow information technology (IT) using network activity logs (2026-09-22),
10. 12744800 - Vulnerability exceptions for monitoring a compute environment (2026-09-22),
11. 12744799 - Correlating distinct events to detect security threats (2026-09-22),
12. 12739267 - Automated cloud infrastructure deployment (2026-09-15),
13. 12739266 - Agentless file integrity monitoring for data managed by a cloud-based filesystem service (2026-09-15),
14. 12730899 - Generating monitoring programs for detecting actions in software applications (2026-09-08),
15. 12726495 - Machine learning-enabled clustering of entities in a monitored deployment (2026-09-01),

Title: The Innovative Journey of Yijou Chen

Introduction: Yijou Chen, a talented inventor based in Cupertino, CA, has made significant contributions to the field of technology through his groundbreaking innovations.

Latest Patents: Yijou Chen's latest patents include a cutting-edge artificial intelligence algorithm for autonomous vehicles and a revolutionary wearable device for monitoring health metrics.

Career Highlights: With a background in computer science and engineering, Yijou Chen has worked for top tech companies in Silicon Valley, leading research and development teams to create cutting-edge solutions.

Collaborations: Throughout his career, Yijou Chen has collaborated with renowned researchers from leading universities and research institutions to push the boundaries of technological advancements.

Conclusion: Yijou Chen's passion for innovation and his dedication to creating impactful inventions continue to inspire the tech industry and pave the way for a more connected and efficient future.

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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