Code that implements Factor Analysis of Information Risk (FAIR) in combination with MITRE ATT&CK using Markov Chain Monte Carlo (via PyMC) to determine the frequency of successful attacks.

Simple code written in R to calculate risk using the factor analysis of information risk (FAIR) methodology. Uses PERT distributions for the monte carlo simulations.

A browser-based calculator for Factor Analysis of Information Risk (FAIR - https://www.opengroup.org/forum/the-open-group-fair-body-of-knowledge ) that estimates annualized cyber risk in dollar figures using Monte Carlo simulation.

Code that implements Factor Analysis of Information Risk (FAIR) in combination with MITRE ATT&CK using Baysian networks (via PyMC) to determine the frequency of successful attacks.

This is a new implementation of the original r-shiny-fair-risk repo that splits the Shiny app into three files, introduces a new UI, and implements various processing efficiencies.

Shiny application that uses Monte Carlo simulation to estimate risk using factor analysis of information risk (FAIR) methods.