Enter inventor name

Foster City, CA, United States of America

Christos Tryfonas

This inventor holds 60 USPTO granted patents and 8 published patent applications, primarily in Network Security Analysis (CPC class H04L). Top assignees: Splunk Inc., Emc Corporation, Emc IP Holding Company LLC. Active years: 2004-2026.

USPTO Granted Patents = 60 (Patent Applications = 8)

% Patents Active = 95.0

Average Co-Inventor Count = 2.6

ph-index = 31

Forward Citations = 4,459(Granted Patents)

Forward Citations (Not Self Cited) = 3,662(Dec 10, 2025)

Inventors with similar research interests:

Location History:

San Carlos, CA (US) (2015 - 2018)
San Francisco, CA (US) (2013 - 2022)
Foster City, CA (US) (2004 - 2023)

Company Filing History:

Emc IP Holding Company LLC

patents

4. 2 out of 3,841

Sprint Communications Comapny L.p.

patents

5. 2 out of 15,964

University of California

patents

6. 1 out of 64

Automation Anywhere, Inc.

patents

Years Active: 2004-2026

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Areas of Expertise:

Anomaly Detection

Threat Identification

Machine Learning

Network Security

Rarity Analysis

Data Processing

Event Monitoring

Graph Analysis

Security Threats

Distributed Systems

Risk-Level Scoring

60 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12585655 - System and method for AI-powered autonomous resolution of user requests via dynamic execution of action workflows across multiple enterprise systems (2026-03-24),

2. 11824646 - Processing anomaly data to identify network security threats by use of rarity analysis (2023-11-21),

3. 11575693 - Composite relationship graph for network security (2023-02-07),

4. 11470096 - Network security anomaly and threat detection using rarity scoring (2022-10-11),

5. 11411966 - Processing anomaly data to identify threats to network security (2022-08-09),

6. 11258807 - Anomaly detection based on communication between entities over a network (2022-02-22),

7. 11146574 - Annotation of event data to include access interface identifiers for use by downstream entities in a distributed data processing system (2021-10-12),

8. 10986106 - Method and system for generating an entities view with risk-level scoring for performing computer security monitoring (2021-04-20),

9. 10911470 - Detecting anomalies in a computer network based on usage similarity scores (2021-02-02),

10. 10911468 - Sharing of machine learning model state between batch and real-time processing paths for detection of network security issues (2021-02-02),

11. 10904270 - Enterprise security graph (2021-01-26),

12. 10798113 - Interactive geographic representation of network security threats (2020-10-06),

13. 10778703 - Method and system for generating an interactive kill chain view for training a machine learning model for identifying threats (2020-09-15),

14. 10666668 - Interface providing an interactive trendline for a detected threat to facilitate evaluation for false positives (2020-05-26),

15. 10587633 - Anomaly detection based on connection requests in network traffic (2020-03-10),

Certainly! Here is an article about inventor Christos Tryfonas based on the provided data:

Title: Innovator Spotlight: Christos Tryfonas

Introduction: Christos Tryfonas, a prolific inventor based in Foster City, CA, has made significant contributions to the field of network security with a total of 59 patents under his name. His innovative approach to identifying and addressing security threats has revolutionized the industry.

Latest Patents:

1. "Processing anomaly data to identify network security threats by use of rarity analysis": With a focus on using rarity analysis to detect security anomalies, this patent showcases Christos Tryfonas's expertise in utilizing big data and machine learning for security analytics. The platform he has developed enables real-time threat detection and provides actionable insights for network security administrators.

2. "Composite relationship graph for network security": This patent demonstrates his commitment to enhancing network security by employing advanced techniques and mechanisms. By leveraging machine learning and user/entity behavioral analytics, this platform offers a comprehensive solution for detecting and responding to security threats promptly.

Career Highlights: Christos Tryfonas has worked with renowned companies such as Splunk Inc. and EMC Corporation, where he has played a key role in developing cutting-edge security solutions. His expertise in data-driven security analytics has led to the creation of innovative technologies that are shaping the future of network security.

Collaborations: During his career, Christos Tryfonas has collaborated closely with industry experts such as Sudhakar Muddu and Ravi Prasad Bulusu. Together, they have spearheaded various projects and initiatives aimed at enhancing security measures and mitigating potential threats in network environments.

Conclusion: Christos Tryfonas's relentless pursuit of innovation and his passion for advancing network security have cemented his position as a trailblazer in the field. His extensive patent portfolio and successful collaborations underscore his commitment to creating cutting-edge solutions that address the evolving challenges of cybersecurity.

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