18535100. Determining financial risk based on cybersecurity data for remediation thereof (Zscaler, Inc.)

Determining financial risk based on cybersecurity data for remediation thereof

Organization Name

Zscaler, Inc.

Inventor(s)

Michael Turek of Chicago IL (US)

Lisa Raymond-smith of Chatham NJ (US)

Shanghao Chen of Burnaby (CA)

Karthikeyan Thamilarasu of Cumming GA (US)

Shriyash Shete of Bloomington IN (US)

Florian Vogt of Munich (DE)

Shawn Poh Wei Jian of Singapore (SG)

Gary Symes of Denver CO (US)

Determining financial risk based on cybersecurity data for remediation thereof

This abstract first appeared for US patent application 18535100 titled 'Determining financial risk based on cybersecurity data for remediation thereof

Original Abstract Submitted

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.