For the Inventor, By the Inventor

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Alexandria, VA, United States of America

Mandiant Corporation

USPTO Granted Patents = 19

EPO Patents = 1

Trademarks = 11

Forward Citations = 2,193

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36 inventors (with patents filed for the assignee):

Jason Shiffer (5 out of 7 patents)

Matthew F Frazier (5 out of 16 patents)

Scott Eric Coull (4 out of 13 patents)

4. David Merkel (3 out of 3 patents)

5. Kevin Mandia (3 out of 3 patents)

6. Matthew Pepe (3 out of 3 patents)

7. Jeffrey Thomas Johns (2 out of 8 patents)

8. Eric Helvey (2 out of 8 patents)

9. Sean Cunningham (2 out of 11 patents)

10. Scott Hogsten (2 out of 3 patents)

11. James Butler (2 out of 4 patents)

12. David Krisiloff (2 out of 5 patents)

13. Christopher B Key (1 out of 9 patents)

14. Paul E Holzberger, Jr (1 out of 8 patents)

15. Jeff Seely (1 out of 1 patent)

19 patents: Sort by Forward Citations

1. 11637862 - System and method for surfacing cyber-security threats with a self-learning recommendation engine (2023-04-25),

2. 11637859 - System and method for analyzing binary code for malware classification using artificial neural network techniques (2023-04-25),

3. 11620379 - Methods and apparatus for detecting and preventing obfuscated cyberattacks using machine learning techniques (2023-04-04),

4. 11568316 - Churn-aware machine learning for cybersecurity threat detection (2023-01-31),

5. 11556640 - Systems and methods for automated cybersecurity analysis of extracted binary string sets (2023-01-17),

6. 11475128 - System and method for heterogeneous transferred learning for enhanced cybersecurity threat detection (2022-10-18),

7. 11349862 - Systems and methods for testing known bad destinations in a production network (2022-05-31),

8. 11258806 - System and method for automatically associating cybersecurity intelligence to cyberthreat actors (2022-02-22),

9. 11201890 - System and method for adaptive graphical depiction and selective remediation of cybersecurity threats (2021-12-14),

10. 9275229 - System to bypass a compromised mass storage device driver stack and method thereof (2016-03-01),

11. 9268936 - Physical memory forensics system and method (2016-02-23),

12. 9106630 - Method and system for collaboration during an event (2015-08-11),

13. 8949257 - Method and system for collecting and organizing data corresponding to an event (2015-02-03),

14. 8881271 - System and method for forensic identification of elements within a computer system (2014-11-04),

15. 8793278 - System and method for data preservation and retrieval (2014-07-29),

Company Overview

Mandiant Corporation, headquartered in Alexandria, VA, specializes in cybersecurity and threat intelligence solutions. The company is renowned for its expertise in incident response, helping organizations detect, respond to, and mitigate cyber threats. Mandiant's focus on advanced threat detection and proactive security measures positions it as a leader in the cybersecurity landscape, serving clients across various sectors globally. Its research and technology initiatives are aimed at enhancing digital security and resilience against evolving cyber threats.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 20 2026

19 Patents

#8 in Alexandria, VA

#285 in Virginia

#17,150 in US

#32,693 in the World

Alexandria, VA, United States of America

Mandiant Corporation

Forward Citations = 2,193

36 inventors:

Jason Shiffer (5 out of 7 patents)

Matthew F Frazier (5 out of 16 patents)

Scott Eric Coull (4 out of 13 patents)

4. David Merkel (3 out of 3 patents)

5. Kevin Mandia (3 out of 3 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Mandiant Corporation. Retrieved from https://idiyas.com/company/mandiant

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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