Patents by Inventor Hugh Pyle

Hugh Pyle 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).

  • System for automatically discovering, enriching and remediating entities interacting in a computer network
    Patent number: 12689637
    Abstract: An entity tracking system and method for a computer network employs proactive data collection and enrichment driven by configurable rules and workflows responsive to the discovery of new entities, changes to existing entities, and specifics about the entities' attributes. The data collection is used in conjunction with graph technologies to map interactions and relationships between various entities interacting in the computer environment and deduce interactions and relationships between the entities. Machine learning techniques further identify, group or categorize entities and identify patterns which are indicative of anomalies that might be due to nefarious actions or compromised security.
    Type: Grant
    Filed: May 6, 2021
    Date of Patent: July 21, 2026
    Assignee: Rapid7, Inc.
    Inventors: Kenneth Allen Rogers, Allen D. Hadden, Craig Roberts, Hugh Pyle
  • SYSTEM FOR COLLECTING COMPUTER NETWORK ENTITY INFORMATION EMPLOYING ABSTRACT MODELS
    Publication number: 20250274478
    Abstract: An entity tracking system and method for a computer network employs proactive data collection and enrichment driven by configurable rules and workflows responsive to the discovery of new entities, changes to existing entities, and specifics about the entities' attributes. The data collection is used in conjunction with graph technologies to map interactions and relationships between various entities interacting in the computer environment and deduce interactions and relationships between the entities. The method and system provides for abstract entity types and collation nodes.
    Type: Application
    Filed: May 2, 2025
    Publication date: August 28, 2025
    Applicant: Rapid7, Inc.
    Inventors: Allen D. Hadden, Hugh Pyle, Kenneth Allen Rogers
  • System for collecting computer network entity information employing abstract models
    Patent number: 12355797
    Abstract: An entity tracking system and method for a computer network employs proactive data collection and enrichment driven by configurable rules and workflows responsive to the discovery of new entities, changes to existing entities, and specifics about the entities' attributes. The data collection is used in conjunction with graph technologies to map interactions and relationships between various entities interacting in the computer environment and deduce interactions and relationships between the entities. The method and system provides for abstract entity types and collation nodes.
    Type: Grant
    Filed: April 20, 2022
    Date of Patent: July 8, 2025
    Assignee: RAPID7, INC.
    Inventors: Allen D. Hadden, Hugh Pyle, Kenneth Allen Rogers
  • System for automatically discovering, enriching and remediating entities interacting in a computer network
    Patent number: 12120134
    Abstract: An entity tracking system and method for a computer network employs proactive data collection and enrichment driven by configurable rules and workflows responsive to the discovery of new entities, changes to existing entities, and specifics about the entities' attributes. The data collection is used in conjunction with graph technologies to map interactions and relationships between various entities interacting in the computer environment and deduce interactions and relationships between the entities. Machine learning techniques further identify, group or categorize entities and identify patterns which are indicative of anomalies that might be due to nefarious actions or compromised security.
    Type: Grant
    Filed: May 6, 2021
    Date of Patent: October 15, 2024
    Assignee: Noetic Cyber Inc.
    Inventors: Kenneth Allen Rogers, Allen D. Hadden, Craig Roberts, Hugh Pyle
  • System for collecting computer network entity information employing abstract models
    Publication number: 20220337620
    Abstract: An entity tracking system and method for a computer network employs proactive data collection and enrichment driven by configurable rules and workflows responsive to the discovery of new entities, changes to existing entities, and specifics about the entities' attributes. The data collection is used in conjunction with graph technologies to map interactions and relationships between various entities interacting in the computer environment and deduce interactions and relationships between the entities. The method and system provides for abstract entity types and collation nodes.
    Type: Application
    Filed: April 20, 2022
    Publication date: October 20, 2022
    Inventors: Allen D. Hadden, Hugh Pyle, Kenneth Allen Rogers
  • System for automatically discovering, enriching and remediating entities interacting in a computer network
    Publication number: 20220004546
    Abstract: An entity tracking system and method for a computer network employs proactive data collection and enrichment driven by configurable rules and workflows responsive to the discovery of new entities, changes to existing entities, and specifics about the entities' attributes. The data collection is used in conjunction with graph technologies to map interactions and relationships between various entities interacting in the computer environment and deduce interactions and relationships between the entities. Machine learning techniques further identify, group or categorize entities and identify patterns which are indicative of anomalies that might be due to nefarious actions or compromised security.
    Type: Application
    Filed: May 6, 2021
    Publication date: January 6, 2022
    Inventors: Kenneth Allen Rogers, Allen D. Hadden, Craig Roberts, Hugh Pyle
  • System for automatically discovering, enriching and remediating entities interacting in a computer network
    Publication number: 20210352098
    Abstract: An entity tracking system and method for a computer network employs proactive data collection and enrichment driven by configurable rules and workflows responsive to the discovery of new entities, changes to existing entities, and specifics about the entities' attributes. The data collection is used in conjunction with graph technologies to map interactions and relationships between various entities interacting in the computer environment and deduce interactions and relationships between the entities. Machine learning techniques further identify, group or categorize entities and identify patterns which are indicative of anomalies that might be due to nefarious actions or compromised security.
    Type: Application
    Filed: May 6, 2021
    Publication date: November 11, 2021
    Inventors: Kenneth Allen Rogers, Allen D. Hadden, Craig Roberts, Hugh Pyle