There is no one size fits all cyber risk models. Cyber risk models must be aligned to (re)insurers’ insured assets and directly map to potential liabilities, derived from the insurance coverages. With Kovrr, (re)insurers can receive their own fully optimized models utilizing data that closely corresponds with the geography, industry, type of businesses, etc. With these models, (re)insurers  can differentiate their offerings in the market.

Kovrr monitors millions of ongoing incidents in real-time. The platform fuses, proprietary, open-source,  and third-party data to build advanced AI machine learning engines to predict and price cyber risk. We create risk models from cyber incidents, intelligence exposure data, claims incidents data and access to a variety of 3rd party data providers.

Kovrr provides insurance professionals unique visibility into its modeling methodologies and the underlying data. With Kovrr’s transparent modeling, (re)insurers can build data-driven underwriting processes and exposure management teams are provided with valuable cyber risk knowledge.