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Corax | Cyber risk modelling and prediction platform

Corax’s rich data foundation is created through expert ingestion and analysis of third party datasets, including threat intelligence, internet performance data and loss data, and using proprietary Corax automated ‘outside in’ discovery tools that identify detailed characteristics of the technology and security environment of individual companies and their internet connections with other companies.
  • Technology and Security data
  • Loss data
  • Real time Threat Intelligence & Vulnerability data
  • Real time Business Interruption / Internet
  • Commercial Information
  • Custom analytics
  • Clients able to modify our model to develop their own view of risk
AI-enabled probabilistic modelling. Prediction and expected costs of data theft and IT disruption Rich, granular, expert-created standardised dataset. Detailed technology, security and loss data on millions of companies Scalable technology platform. Continuous daily, automatic addition and update of thousands of companies in the database

Data, reports and modelled outputs on:

  • Cyber risk of individual and groups of companies, including assessment and benchmarking of cyber hygiene and technology resilience; and prediction and expected costs of data theft and IT disruption.
  • Scenarios relating to cyber events, security vulnerabilities, technologies and vendors.

Delivered via web access or API integration

Corax is the leading and largest source of cyber exposure data and predicted loss costs of breach and network outage events. Corax’s rich data foundation is created through expert selection, ingestion and analysis of third party datasets, including threat intelligence, internet performance data and loss data, and using proprietary automated discovery tools that identify detailed characteristics of the technology and security environment of individual companies and their interconnections with other companies. Modelled data is developed within a proprietary AI probabilistic engine to predict the expected cost of data compromise and IT disruption with unprecedented accuracy.



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