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Cyberwrite’s Cyberprofile technology converts raw cyber risk data into cyber risk scores and financial damage estimations using ML and other advanced algorithms.

  • Automatically finds a correlation between cyber insurance coverages and data collected about insured companies.
  • Automatically decides the importance of each data for each coverage.
  • Utilized Machine Learning and Actuarial science to be able to conduct large-scale implementation of cyber risk to insurance risk translation.

Data collection technologies of crawlers that scan the internet for data ongoingly and on-demand.

Cyberwrite Cyberprofile data is collected on both client and macro level for the monitoring of global and local cyber risks.

  • Collects risk-related data relevant to cyber insurance on-demand.
  • Monitor past breaches of companies, botnet activity, and darknet publications.
  • Collects data about geography and sector risks globally.

Automated SMB population statistical analysis for cyber insurance risk profiling

  • Understand the risk context of each company compared to similar peers.
  • Manage the policy wording risk using our unique approach to cyber insurance risk profiling.
  • Using dedicated dashboards and API’s integration design the underwriting process best suited to company needs.
Machine Learning Algorithms

Support the data-driven approach for converting raw data and cyber insights into insurance risk scores

Dedicated Actuarial Model

Provides actuarial scores and financial impact assessment for every coverage and report per SMB client

Systemic Risk Dashboard

Provides the possibility to safely grow your book and learn about risks as you go


Get in Touch Today to Learn More



77 Water Street
New York, New York
Manhattan 10005



Menachem Begin 144
Tel Aviv, 6816727

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