Patents by Inventor Todd Granger MacDermid

Todd Granger MacDermid has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Automated threat modeling using machine-readable threat models
    Patent number: 11750642
    Abstract: This disclosure describes techniques for automating a system-level security review of a network-based service. The techniques may include generating and utilizing a machine-readable threat model to identify system-level security threats to the network-based service. The network-based service may be scanned upon being provisioned in a service-provider network, and the machine-readable threat model may be generated based on results of the scan. The machine-readable threat model may represent components of the network-based service, system-level security constraints configured to identify system-level security threats to the service, and mitigations to remedy violations to the system-level security constraints. The network-based service may be continuously, or periodically, scanned to identify changes in the network-based service.
    Type: Grant
    Filed: August 15, 2022
    Date of Patent: September 5, 2023
    Assignee: Amazon Technologies, Inc.
    Inventors: Michael Tautschnig, Neha Rungta, John Cook, Pauline Virginie Bolignano, Todd Granger MacDermid, Oksana Tkachuk
  • Automated threat modeling using machine-readable threat models
    Patent number: 11418532
    Abstract: This disclosure describes techniques for automating a system-level security review of a network-based service. The techniques may include generating and utilizing a machine-readable threat model to identify system-level security threats to the network-based service. The network-based service may be scanned upon being provisioned in a service-provider network, and the machine-readable threat model may be generated based on results of the scan. The machine-readable threat model may represent components of the network-based service, system-level security constraints configured to identify system-level security threats to the service, and mitigations to remedy violations to the system-level security constraints. The network-based service may be continuously, or periodically, scanned to identify changes in the network-based service.
    Type: Grant
    Filed: April 7, 2020
    Date of Patent: August 16, 2022
    Assignee: Amazon Technologies, Inc.
    Inventors: Michael Tautschnig, Neha Rungta, John Cook, Pauline Virginie Bolignano, Todd Granger MacDermid, Oksana Tkachuk
  • Automated threat modeling using machine-readable threat models
    Patent number: 10652266
    Abstract: This disclosure describes techniques for automating a system-level security review of a network-based service. The techniques may include generating and utilizing a machine-readable threat model to identify system-level security threats to the network-based service. The network-based service may be scanned upon being provisioned in a service-provider network, and the machine-readable threat model may be generated based on results of the scan. The machine-readable threat model may represent components of the network-based service, system-level security constraints configured to identify system-level security threats to the service, and mitigations to remedy violations to the system-level security constraints. The network-based service may be continuously, or periodically, scanned to identify changes in the network-based service.
    Type: Grant
    Filed: February 28, 2018
    Date of Patent: May 12, 2020
    Assignee: Amazon Technologies, Inc.
    Inventors: Michael Tautschnig, Neha Rungta, John Cook, Pauline Virginie Bolignano, Todd Granger MacDermid, Oksana Tkachuk