2 résultats pour « Cyber risk classification »

Cyber Risk Taxonomies: Statistical Analysis of Cybersecurity Risk Classifications

Cyber risk classifications often fail in out-of-sample forecasting despite their in-sample fit. Dynamic, impact-based classifiers outperform rigid, business-driven ones in predicting losses. Cyber risk types are better suited for modeling event frequency than severity, offering crucial insights for cyber insurance and risk management strategies.

Cyber Risk Taxonomies: Statistical Analysis of Cybersecurity Risk Classifications

This paper argues that traditional cyber risk classifications are too restrictive for effective out-of-sample forecasting. It recommends focusing on dynamic, impact-based classifications for better predictions of cyber risk losses, suggesting that risk types are more useful for modeling event frequency rather than severity.