Patents by Inventor Andrew Fred APPLEBAUM

Andrew Fred APPLEBAUM 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).

  • Publication number: 20250126024
    Abstract: Described herein are systems and methods for generating a computing network from natural language descriptions of the computing network are provided. In one or more examples, the systems and methods described below can be used harvest publicly available (or even privately available) natural language descriptions of a computing network, and convert those descriptions into an operational replica of the described computing network. By harvesting both publicly available data, as well as other resources, the systems and methods described herein can allow for an analyst tasked with analyzing a given computing network to generate a fully operational replica of the computing network without having to have direct access to the network. In one or more examples, the analyst can recreate a fully-functional replica of the network to be analyzed based on partial descriptions of the computing network, thereby greatly improving the level of analysis capable of being performed.
    Type: Application
    Filed: December 20, 2024
    Publication date: April 17, 2025
    Applicant: The MITRE Corporation
    Inventors: Michael Bastian KOUREMETIS, Christopher David JELLEN, William Bryan BOOTH, Andrew Fred APPLEBAUM
  • Patent number: 12199834
    Abstract: Described herein are systems and methods for generating a computing network from natural language descriptions of the computing network are provided. In one or more examples, the systems and methods described below can be used harvest publically available (or even privately available) natural language descriptions of a computing network, and convert those descriptions into an operational replica of the described computing network. By harvesting both publically available data, as well as other resources, the systems and methods described herein can allow for an analyst tasked with analyzing a given computing network to generate a fully operational replica of the computing network without having to have direct access to the network. In one or more examples, the analyst can recreate a fully-functional replica of the network to be analyzed based on partial descriptions of the computing network, thereby greatly improving the level of analysis capable of being performed.
    Type: Grant
    Filed: October 19, 2022
    Date of Patent: January 14, 2025
    Assignee: The MITRE Corporation
    Inventors: Michael Bastian Kouremetis, Christopher David Jellen, William Bryan Booth, Andrew Fred Applebaum
  • Publication number: 20240235948
    Abstract: Described herein are systems and methods for generating a computing network from natural language descriptions of the computing network are provided. In one or more examples, the systems and methods described below can be used harvest publically available (or even privately available) natural language descriptions of a computing network, and convert those descriptions into an operational replica of the described computing network. By harvesting both publically available data, as well as other resources, the systems and methods described herein can allow for an analyst tasked with analyzing a given computing network to generate a fully operational replica of the computing network without having to have direct access to the network. In one or more examples, the analyst can recreate a fully-functional replica of the network to be analyzed based on partial descriptions of the computing network, thereby greatly improving the level of analysis capable of being performed.
    Type: Application
    Filed: October 19, 2022
    Publication date: July 11, 2024
    Applicant: The MITRE Corporation
    Inventors: Michael Bastian KOUREMETIS, Christopher David JELLEN, William Bryan BOOTH, Andrew Fred APPLEBAUM
  • Publication number: 20240137283
    Abstract: Described herein are systems and methods for generating a computing network from natural language descriptions of the computing network are provided. In one or more examples, the systems and methods described below can be used harvest publically available (or even privately available) natural language descriptions of a computing network, and convert those descriptions into an operational replica of the described computing network. By harvesting both publically available data, as well as other resources, the systems and methods described herein can allow for an analyst tasked with analyzing a given computing network to generate a fully operational replica of the computing network without having to have direct access to the network. In one or more examples, the analyst can recreate a fully-functional replica of the network to be analyzed based on partial descriptions of the computing network, thereby greatly improving the level of analysis capable of being performed.
    Type: Application
    Filed: October 18, 2022
    Publication date: April 25, 2024
    Applicant: The MITRE Corporation
    Inventors: Michael Bastian KOUREMETIS, Christopher David JELLEN, William Bryan BOOTH, Andrew Fred APPLEBAUM