Cyber Risk Modeling and Insurance Applications

The Challenge of Cyber Risk

Cyber risk is difficult to model because threats evolve rapidly, historical data is limited, and losses can be correlated across policyholders. A single vulnerability can trigger claims across an entire book of business, creating accumulation risk that traditional actuarial models struggle to capture. MAS-II tests your ability to identify these challenges and adapt standard techniques accordingly.

Modeling Frameworks

Frequency-severity models remain the foundation, but cyber requires modifications. Frequency often depends on threat intelligence and vulnerability counts rather than purely historical claim rates. Severity distributions tend to be heavy-tailed, making extreme value theory relevant. Copula models help capture dependence between policyholders sharing technology platforms. Scenario-based approaches model specific attack types such as ransomware, data breaches, and business interruption. On the exam, be prepared to discuss both data-driven and scenario-driven methods and explain when each is appropriate.