Patents by Inventor Collin Cameron Meadows

Collin Cameron Meadows 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).

  • Patent number: 12039084
    Abstract: The present disclosure relates to systems and methods for information security, specifically for automatically detecting theft of personal data. In one implementation, a computer-implemented method for automatically detecting theft of personal data on the Internet may include at least one processor configured to execute instructions, the instructions including receiving from a user, an electronic communication containing a first search term, extracting via pattern recognition one or more patterns corresponding with the first search term, and comparing the one or more patterns with a subset of data scraped from the Internet, with the subset of data scraped from the Internet being indexed by pattern for the first search term. The instructions may also include flagging matches of the one or more patterns with the subset of data based on the comparison and transmitting information associated with the matches in a report that indicates a possible theft of personal data.
    Type: Grant
    Filed: March 31, 2020
    Date of Patent: July 16, 2024
    Assignee: GROUPSENSE, INC.
    Inventors: Thomas Stephen Richards, Collin Cameron Meadows, Kyle Allen Gochenour
  • Publication number: 20200226291
    Abstract: The present disclosure relates to systems and methods for information security, specifically for automatically detecting theft of personal data. In one implementation, a computer-implemented method for automatically detecting theft of personal data on the Internet may include at least one processor configured to execute instructions, the instructions including receiving from a user, an electronic communication containing a first search term, extracting via pattern recognition one or more patterns corresponding with the first search term, and comparing the one or more patterns with a subset of data scraped from the Internet, with the subset of data scraped from the Internet being indexed by pattern for the first search term. The instructions may also include flagging matches of the one or more patterns with the subset of data based on the comparison and transmitting information associated with the matches in a report that indicates a possible theft of personal data.
    Type: Application
    Filed: March 31, 2020
    Publication date: July 16, 2020
    Inventors: Thomas Stephen RICHARDS, Collin Cameron Meadows, Kyle Allen Gochenour
  • Patent number: 10614250
    Abstract: The present disclosure relates to systems and methods for information security, specifically for automatically detecting theft of personal data. In one implementation, a computer-implemented method for automatically detecting theft of personal data on the Internet may include at least one processor configured to execute instructions, the instructions including receiving from a user, an electronic communication containing a first search term, extracting via pattern recognition one or more patterns corresponding with the first search term, and comparing the one or more patterns with a subset of data scraped from the Internet, with the subset of data scraped from the Internet being indexed by pattern for the first search term. The instructions may also include flagging matches of the one or more patterns with the subset of data based on the comparison and transmitting information associated with the matches in a report that indicates a possible theft of personal data.
    Type: Grant
    Filed: May 4, 2018
    Date of Patent: April 7, 2020
    Assignee: GROUPSENSE, INC.
    Inventors: Thomas Stephen Richards, Collin Cameron Meadows, Kyle Allen Gochenour
  • Publication number: 20190340390
    Abstract: The present disclosure relates to systems and methods for information security, specifically for automatically detecting theft of personal data. In one implementation, a computer-implemented method for automatically detecting theft of personal data on the Internet may include at least one processor configured to execute instructions, the instructions including receiving from a user, an electronic communication containing a first search term, extracting via pattern recognition one or more patterns corresponding with the first search term, and comparing the one or more patterns with a subset of data scraped from the Internet, with the subset of data scraped from the Internet being indexed by pattern for the first search term. The instructions may also include flagging matches of the one or more patterns with the subset of data based on the comparison and transmitting information associated with the matches in a report that indicates a possible theft of personal data.
    Type: Application
    Filed: May 4, 2018
    Publication date: November 7, 2019
    Inventors: Thomas Stephen Richards, Collin Cameron Meadows, Kyle Allen Gochenour