Seattle, WA, United States of America

Todd Granger MacDermid


Average Co-Inventor Count = 6.0

ph-index = 2

Forward Citations = 23(Granted Patents)


Company Filing History:


Years Active: 2020-2023

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3 patents (USPTO):

Title: Todd Granger MacDermid: Innovator in Automated Threat Modeling

Introduction

Todd Granger MacDermid is an accomplished inventor based in Seattle, WA. He has made significant contributions to the field of cybersecurity through his innovative patents. With a total of 3 patents, MacDermid is recognized for his expertise in automating security processes for network-based services.

Latest Patents

One of MacDermid's notable patents is focused on automated threat modeling using machine-readable threat models. This invention describes techniques for automating a system-level security review of a network-based service. The process includes generating and utilizing a machine-readable threat model to identify system-level security threats. The network-based service is scanned upon being provisioned in a service-provider network, and the machine-readable threat model is generated based on the results of the scan. This model represents components of the network-based service, system-level security constraints, and mitigations to remedy any violations. The network-based service may be continuously or periodically scanned to identify changes, and the machine-readable threat model is updated accordingly to ensure compliance with security constraints.

Career Highlights

Todd MacDermid is currently employed at Amazon Technologies, Inc., where he applies his innovative ideas to enhance security measures. His work focuses on improving the safety and reliability of network-based services through advanced threat modeling techniques.

Collaborations

MacDermid collaborates with talented professionals in his field, including Michael Tautschnig and Neha Rungta. These partnerships contribute to the development of cutting-edge solutions in cybersecurity.

Conclusion

Todd Granger MacDermid is a prominent inventor whose work in automated threat modeling has significantly impacted the cybersecurity landscape. His innovative patents and collaborations continue to drive advancements in the field.

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