Insurers are provided with a tailored platform that includes dozens of cyber risk scenarios. These scenarios are generated via Kovrr’s algorithms,which match cyber threats to a company’s risk factors determined by their security resilience. To create highly accurate models, the data utilized per scenario closely corresponds with the  geography, industry, type of business, etc. Kovrr’s predictive risk scenarios are continuously updated to reflect the evolving cyber threats landscape and result in real-time insights and predict the frequency and severity of attacks.

Kovrr’s security resilience analysis provides unique visibility into the risk of any size and type of business, regardless to whether it has a digital presence. Each company undergoes a security resilience analysis which results in hundreds of cyber risk factors that are mapped to an insurer's questionnaire. These data-driven insights augment and validate internal underwriting processes providing insurers with an understanding to the cyber risk associated with a company or portfolio.  

Kovrr monitors millions of ongoing incidents in real-time. The platform uses public, open-source, proprietary and third-party data to build advanced AI machine learning engines to create risk scenario models from cyber incidents, intelligence exposure data and claims incidents data. Kovrr provides insurance professionals unique visibility into its modeling methodologies and the underlying data. Kovrr’s transparent modeling allows insurers to build internal underwriting teams and processes with valuable cyber risk knowledge.