Systemic Cyber Risk: Is it Insurable?
Reliable modeling begins with defining and refining the data required.
Understanding the data of a particular risk opens a path to anticipating secondary effects.
Many cyber risks have been covered with only a vague understanding of the factors that support pricing and risk differentiation.
Tech providers and some startups are developing tools for scanning, identifying and evaluating systems for potential points of failure.
Insurers are gathering more information and addressing limits. This can lead to higher prices and longer waiting times.
