Cyber & Operational Risk Quantification with Monte Carlo Simulation

This course teaches Monte Carlo simulation for cybersecurity and operational risk analysis, targeting the growing importance of digital risks in business. It debunks three myths: that Monte Carlo is mathematically complex (false—basic statistics suffice), expensive to implement (Excel-based tools make it economical), and requires extensive historical data (PERT distributions enable expert judgment-based modeling).

Students work with iziRisk Quantum, an Excel add-on for Monte Carlo simulations, making the cause-effect logic between variables clear and accessible. The practical methodology encourages passive observation followed by active replication of models.

Upon completion, participants can quantify cybersecurity risks in monetary terms, identify key risk components, evaluate mitigation strategies, and make data-driven decisions through simulation. The course emphasizes that operational risk analysis is accessible to anyone with basic statistical knowledge, using affordable tools and practical approaches rather than requiring advanced mathematical training or large historical datasets.