For the Inventor, By the Inventor

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San Jose, CA, United States of America

Vectra Ai, Inc.

Calculating rank

USPTO Granted Patents = 12

EPO Patents = 16

Trademarks = 2

Forward Citations = 9

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11 inventors (with patents filed for the assignee):

Nicolas Beauchesne (9 out of 20 patents)

Sohrob Kazerounian (8 out of 8 patents)

Karl Matthew Lynn (6 out of 9 patents)

4. William Stow Finlayson, Iv (6 out of 6 patents)

5. Himanshu Mhatre (3 out of 6 patents)

6. Daniel Carlton Hannah (3 out of 3 patents)

7. Hsin Chen (2 out of 3 patents)

8. John Steven Mancini (2 out of 2 patents)

9. Matthew R Silver (1 out of 1 patent)

10. Tuomas P Oikarinen (1 out of 1 patent)

11. Irina Javed (1 out of 1 patent)

12. Kevin Song-Kai Ni (1 patent)

13. David Lopes Pegna (5 patents)

14. Oliver Kourosh Tavakoli (11 patents)

15. Oliver Brdiczka (20 patents)

12 patents: Sort by Forward Citations

1. 12726497 - Method, product, and system for automatically isolating malicious security alerts from benign alerts using an ensemble model of pattern recognition techniques (2026-09-01),

2. 12688022 - Method, product, and system for solving arbitrary constraint satisfaction problems (2026-07-21),

3. 12603891 - Method, product, and system for generating a software representation that embodies network configuration and policy data of a computer network for use in security management (2026-04-14),

4. 12477001 - Method, product, and system for analyzing attack paths in computer network generated using a software representation that embodies network configuration and policy data for security management (2025-11-18),

5. 12328322 - Method, product, and system for network security management using software representation that embodies network configuration and policy data (2025-06-10),

6. 12219070 - Method, product, and system for generating detection signatures based on attack paths in a computer network identified using a software representation that embodies network configuration and policy data for security management using detection signature templates (2025-02-04),

7. 12212585 - Method, product, and system for analyzing a computer network to identify attack paths using a software representation that embodies network configuration and policy data for security management (2025-01-28),

8. 11973768 - Method and system for detecting malicious payloads (2024-04-30),

9. 11880764 - Method, product, and system for detecting malicious network activity using a graph mixture density neural network (2024-01-23),

10. 11595416 - Method, product, and system for maintaining an ensemble of hierarchical machine learning models for detection of security risks and breaches in a network (2023-02-28),

11. 11330005 - Privileged account breach detections based on behavioral access patterns (2022-05-10),

12. 10880321 - Method and system for learning representations of network flow traffic (2020-12-29),

Company Overview

Vectra AI, Inc. specializes in cybersecurity solutions, focusing on threat detection and response through advanced artificial intelligence. The company develops innovative software that analyzes network traffic and user behavior to identify potential security breaches in real-time. Headquartered in San Jose, California, Vectra AI serves a global clientele, providing tools that enhance organizational security postures against evolving cyber threats. Their technology is pivotal in safeguarding sensitive data across various industries.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 27 2026

12 Patents

#466 in San Jose, CA

#6,069 in California

#25,589 in US

#48,235 in the World

San Jose, CA, United States of America

Vectra Ai, Inc.

Forward Citations = 9

11 inventors:

Nicolas Beauchesne (9 out of 20 patents)

Sohrob Kazerounian (8 out of 8 patents)

Karl Matthew Lynn (6 out of 9 patents)

4. William Stow Finlayson, Iv (6 out of 6 patents)

5. Himanshu Mhatre (3 out of 6 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Vectra Ai, Inc.. Retrieved from https://idiyas.com/company/vectra-ai

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

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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