CORAX ANNOUNCES NEW CUSTOMER: MS&AD Insurance Group Holdings
Corax provides data and analytics to MS&AD Insurance Group Holdings
London- 18th March 2019 – Corax, the world’s leading and largest source of cyber exposure data and loss analytics for insurance, is pleased to announce its newest customer Japanese Insurance carrier, MS&AD Insurance Group Holdings, Inc. MS&AD Insurance Group Holdings subsidiaries Mitsui Sumitomo Insurance, Aioi Nissay Dowa Insurance and MS&AD InterRisk Research & Consulting, will use the Corax platform to enhance the accuracy of underwriting and management of portfolio risk.
CEO of Corax, Jonathan Pope, said “Our relationship with MS&AD Insurance Group Holdings, based in Tokyo, highlights Corax’s unique position as a world-class vendor of cyber analytics on a global scale. Our rich data foundation provides modelled loss and customised analytics on the cyber security and technology resilience of millions companies worldwide and can be used to accurately underwrite and manage risk exposure globally.”
Corax has experienced rapid market adoption since becoming commercially available to the insurance industry in late 2017. It now has over 200 users worldwide, including reinsurers, insurers, MGAs, wholesale and retail brokers.
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MORE ABOUT CORAX
Corax is the world’s leading and largest source of cyber exposure data and loss analytics for insurance. Corax provides customers with enriched data, modelled loss and customized analytics on the cyber security and technology resilience of millions of interconnected companies worldwide. Corax delivers this via its scalable technology platform, rich and extensive dataset, and AI-enabled probabilistic modelling. Founded in 2014 in London and San Francisco to be at the heart of insurance and technology, Corax has grown to over 200 users worldwide since being commercially available to the insurance industry in late 2017.
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 automated discovery tools that identify detailed characteristics of the technology and security environment on individual companies.
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