Cybersecurity challenges are constantly evolving, making the quantification of risk a complex yet crucial task. Traditional methods often struggle to accurately reflect the multifaceted nature of cyber threats.
This technical paper introduces the Monte Carlo method as an advanced statistical technique used in Hyver to compute the likelihood of breach for an organization’s business-critical assets. The method’s adaptability to changing cyber threat landscapes positions it as a valuable tool in the arsenal of cybersecurity professionals.
Topics include:
Hyver’s mitigation graph structure and edge probability model
The Monte Carlo method and its applications
How the Monte Carlo method computes likelihood of breach
Accuracy and precision of the Monte Carlo
Download the technical paper for an overview of how the Monte Carlo method is implemented in Hyver.