factor-analysis-information-risk

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.

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

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.

Open-source cyber risk quantification: Monte Carlo loss modeling, control valuation, security investment analysis, and governed assumptions.