Portfolio Accumulation Management

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Actively manage accumulated cyber risk.

Key Features

Insights into new emerging vulnerabilities

The Kovrr platform reflects emerging exposures and allows (re)insurers to control risk accumulation by notifying them when pre-defined accumulated risk thresholds are crossed.

Silent Risk Exposure

Implications of cyber threats can affect other insurance lines, for example, property insurance. We help (re)insurers gain visibility to risk associated with potential cyber events within any commercial insurance book and quantify its total exposure. With Kovrr, (re)insurers are provided with insights into where silent risk exists in their portfolio.

Monitoring Portfolios’ Aggregations

Kovrr's platform analyzes companies' technology stacks, their third-party service providers and the cyber threat landscape. Using this data, the platform calculates the aggregated exposure and pinpoints the relevancy and exposure to current cyber threats. This provides (re)insurers with a clear understanding of actions required to diversify portfolio risk.

Key Benefits

Transparent Modeling

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.

Data, Data, Data

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.

Customized Platform

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.