Enter assignee name

EPO Patents = 2

Trademarks = 4

Forward Citations = 7

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11 inventors (with patents filed for the assignee):

David Gordon Melski (3 out of 3 patents)

Jason Alvin Dickens (2 out of 2 patents)

Nathan Taylor Kennedy (2 out of 2 patents)

4. Drew Christian Dehaas (2 out of 3 patents)

5. Matthew Noonan (2 out of 2 patents)

6. Alexey Loginov (2 out of 2 patents)

7. David R Cok (2 out of 29 patents)

8. Eric Michael Schulte (1 out of 1 patent)

9. Antonio Enrique Flores Montoya (1 out of 1 patent)

10. Eric Rizzi (1 out of 1 patent)

11. Vlad Folts (1 out of 1 patent)

8 patents: Sort by Forward Citations

1. 11686770 - Systems and/or methods for anomaly detection and characterization in integrated circuits (2023-06-27),

2. 11586532 - Software test environment with automated configurable harness capabilities, and associated methods and computer readable storage media (2023-02-21),

3. 11092648 - Systems and/or methods for anomaly detection and characterization in integrated circuits (2021-08-17),

4. 10990667 - Systems and/or methods for automatically protecting against memory corruption vulnerabilities (2021-04-27),

5. 10942718 - Systems and/or methods for type inference from machine code (2021-03-09),

6. 10705814 - Systems and/or methods for generating reassemblable disassemblies of binaries using declarative logic (2020-07-07),

7. 10423397 - Systems and/or methods for type inference from machine code (2019-09-24),

8. 9990492 - Systems and/or methods for automatically protecting against memory corruption vulnerabilities (2018-06-05),

GrammaTech is a leading developer of software-assurance tools and advanced cyber-security solutions. With a focus on detecting, remediating, and preventing vulnerabilities in software, GrammaTech helps organizations improve software quality, security, and safety. Their advanced static analysis tools and innovative binary code analysis technologies are used by Fortune 500 companies, government agencies, and other critical infrastructure organizations to ensure the integrity and reliability of their software systems.

This text is generated by artificial intelligence and may not be accurate.