Patents by Inventor Alexander Michael Conn

Alexander Michael Conn 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: 20230033117
    Abstract: Methods and systems for the detection, identification, analysis of cybersecurity events in order to support prevention of the persistence of threats, malware or other harmful events are provided. The methods and systems of the present invention enable a user to find similar anomalous network traffic within a single network or across multiple networks. The methods and systems identify and correlate activity in order to analyze potential threats within a network by providing broader contextual information about how those threats relate to other activity within the network or across a sector or country.
    Type: Application
    Filed: October 3, 2022
    Publication date: February 2, 2023
    Inventors: Michael Lowney, Phillip Baker Schafer, Alexander Michael Conn, Patrick Collard, Stephen Kinser
  • Patent number: 11477223
    Abstract: Methods and systems for the detection, identification, analysis of cybersecurity events in order to support prevention of the persistence of threats, malware or other harmful events are provided. The methods and systems of the present invention enable a user to find similar anomalous network traffic within a single network or across multiple networks. The methods and systems identify and correlate activity in order to analyze potential threats within a network by providing broader contextual information about how those threats relate to other activity within the network or across a sector or country.
    Type: Grant
    Filed: January 15, 2020
    Date of Patent: October 18, 2022
    Assignee: IronNet Cybersecurity, Inc.
    Inventors: Michael Lowney, Phillip Baker Schafer, Alexander Michael Conn, Patrick Collard, Stephen Kinser
  • Publication number: 20210218764
    Abstract: Methods and systems for the detection, identification, analysis of cybersecurity events in order to support prevention of the persistence of threats, malware or other harmful events are provided. The methods and systems of the present invention enable a user to find similar anomalous network traffic within a single network or across multiple networks. The methods and systems identify and correlate activity in order to analyze potential threats within a network by providing broader contextual information about how those threats relate to other activity within the network or across a sector or country.
    Type: Application
    Filed: January 15, 2020
    Publication date: July 15, 2021
    Inventors: Michael Lowney, Phillip Baker Schafer, Alexander Michael Conn, Patrick Collard, Stephen Kinser