For the Inventor, By the Inventor

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Reston, VA, United States of America

Invincea, Inc.

USPTO Granted Patents = 31

EPO Patents = 1

Trademarks = 1

Forward Citations = 536

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13 inventors (with patents filed for the assignee):

Joshua Daniel Saxe (17 out of 38 patents)

Anup K Ghosh (7 out of 31 patents)

Alan Keister (7 out of 32 patents)

4. Benjamin Bryant (7 out of 7 patents)

5. Stephen Taylor (7 out of 7 patents)

6. Konstantin Berlin (7 out of 16 patents)

7. Scott F Cosby (6 out of 11 patents)

8. Michael Nathan Lack (5 out of 12 patents)

9. Alexander Mason Long (3 out of 3 patents)

10. David Peter Mentis (1 out of 1 patent)

11. Anthony Chungku Wong (1 out of 1 patent)

12. Robert Paul Gove, Jr (1 out of 9 patents)

13. Scott Cosby (1 out of 1 patent)

Core Competencies:

Malware Detection

Secure Authentication

Sandbox Environment

Machine Learning

Feature Mapping

Graph Data Processing

Malicious Activity

Malware Samples

31 patents: Sort by Forward Citations

1. 12455957 - Methods and apparatus for control and detection of malicious content using a sandbox environment (2025-10-28),

2. 12367283 - Methods and apparatus for machine learning based malware detection (2025-07-22),

3. 12238239 - Methods and devices for secure authentication to a compute device (2025-02-25),

4. 12189773 - Methods and apparatus for detecting whether a string of characters represents malicious activity using machine learning (2025-01-07),

5. 12019734 - Methods and apparatus for control and detection of malicious content using a sandbox environment (2024-06-25),

6. 11853427 - Methods and apparatus for detecting whether a string of characters represents malicious activity using machine learning (2023-12-26),

7. 11841947 - Methods and apparatus for machine learning based malware detection (2023-12-12),

8. 11544380 - Methods and apparatus for detecting whether a string of characters represents malicious activity using machine learning (2023-01-03),

9. 11128750 - Methods and devices for secure authentication to a compute device (2021-09-21),

10. 10984097 - Methods and apparatus for control and detection of malicious content using a sandbox environment (2021-04-20),

11. 10972495 - Methods and apparatus for detecting and identifying malware by mapping feature data into a semantic space (2021-04-06),

12. 10896256 - Methods and apparatus for machine learning based malware detection (2021-01-19),

13. 10878093 - Methods and apparatus for detecting whether a string of characters represents malicious activity using machine learning (2020-12-29),

14. 10715654 - Methods and devices for secure authentication to a compute device (2020-07-14),

15. 10649970 - Methods and apparatus for detection of functionality (2020-05-12),

Company Overview

Invincea, Inc. is a cybersecurity company based in Reston, Virginia, specializing in advanced threat protection solutions. The organization focuses on developing innovative technologies that safeguard endpoints from sophisticated cyber threats, leveraging machine learning and behavioral analysis to detect and mitigate risks in real-time. Invincea's expertise extends to securing sensitive data and enhancing overall enterprise security posture, making it a key player in the cybersecurity landscape.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 6 2026

31 Patents

#20 in Reston, VA

#188 in Virginia

#10,921 in US

#21,238 in the World

Reston, VA, United States of America

Invincea, Inc.

Forward Citations = 536

13 inventors:

Joshua Daniel Saxe (17 out of 38 patents)

Anup K Ghosh (7 out of 31 patents)

Alan Keister (7 out of 32 patents)

4. Benjamin Bryant (7 out of 7 patents)

5. Stephen Taylor (7 out of 7 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Invincea, Inc.. Retrieved from https://idiyas.com/company/invincea

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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