Patents by Inventor Michael Turek

Michael Turek 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).

  • Determining financial risk based on cybersecurity data for remediation thereof
    Patent number: 12591753
    Abstract: Systems and methods for analyzing cybersecurity data to determine financial risk include obtaining cybersecurity monitoring data for an organization where the cybersecurity monitoring data is from a plurality of sources including from cybersecurity monitoring of a plurality of users associated with the organization; determining a current cyber risk posture of the organization based on the cybersecurity monitoring data; determining inputs for a Monte Carlo simulation to characterize financial losses of the organization due to a cyber event in a predetermined time period based on (1) an associated industry of the organization, (2) a size of the organization, and (3) the current cyber risk posture of the organization; performing a plurality of trials of the Monte Carlo simulation utilizing the inputs; and displaying a risk distribution curve based on results of the plurality of trials where the risk distribution curve plots a curve of losses versus a probability.
    Type: Grant
    Filed: December 11, 2023
    Date of Patent: March 31, 2026
    Assignee: Zscaler, Inc.
    Inventors: Michael Turek, Lisa Raymond-Smith, Shanghao Chen, Karthikeyan Thamilarasu, Shriyash Shete, Florian Vogt, Shawn Poh Wei Jian, Gary Symes
  • Determining financial risk based on cybersecurity data for remediation thereof
    Publication number: 20240422186
    Abstract: Systems and methods for analyzing cybersecurity data to determine financial risk include obtaining cybersecurity monitoring data for an organization where the cybersecurity monitoring data is from a plurality of sources including from cybersecurity monitoring of a plurality of users associated with the organization; determining a current cyber risk posture of the organization based on the cybersecurity monitoring data; determining inputs for a Monte Carlo simulation to characterize financial losses of the organization due to a cyber event in a predetermined time period based on (1) an associated industry of the organization, (2) a size of the organization, and (3) the current cyber risk posture of the organization; performing a plurality of trials of the Monte Carlo simulation utilizing the inputs; and displaying a risk distribution curve based on results of the plurality of trials where the risk distribution curve plots a curve of losses versus a probability.
    Type: Application
    Filed: December 11, 2023
    Publication date: December 19, 2024
    Applicant: Zscaler, Inc.
    Inventors: Michael Turek, Lisa Raymond-Smith, Shanghao Chen, Karthikeyan Thamilarasu, Shriyash Shete, Florian Vogt, Shawn Poh Wei Jian, Gary Symes