Cybercube: Data-Driven Cyber Risk Analytics Built For The Insurance Industry

Cybercube: Data-Driven Cyber Risk Analytics Built For The Insurance Industry

Written by Roger Peverelli and Reggy de Feniks - Founders The DIA Community on 16 Oct, 2020

Cyber

CyberCube is a SaaS technology company that develops financial models for risk placement, insurance underwriting and portfolio optimisation and risk aggregation to tackle some of the hardest problems in insurance. They help the cyber insurance market to grow profitably through the use of cyber risk analytics. Their data and analytics are built specifically for the (re)insurance and broking industry through the multi-class solutions Portfolio Manager, Account Manager and Broking Manager.

Their multi-disciplinary team works at the intersection of cyber and insurance to create probabilistic and scenario models. This, combined with a comprehensive and realistic catastrophe scenario catalogue developed by experts in threat intelligence, cybersecurity, data science and economics, is driving real multi-class innovation across the insurance industry.

It is important not to rely solely on historical data as threats can move on very quickly in the dynamic risk area. CyberCube allows insurance companies to build a forward-looking view of cyber risk. Using security metrics, loss data and internet-scanning insights the right information is put into the hands of cyber insurance decision makers. CyberCube’s products give insurers the ability to take insight-driven risk decisions, see trends before they become claims and tackle complex and important challenges.

Some of the largest and most sophisticated (re)insurance organisations, including Aon, Guy Carpenter, Hiscox, Chubb, Munich Re, CNA and Woodruff Sawyer, use CyberCube’s products. They have also won a number of awards including InsurTech Initiative of the Year at the US Insurance Awards, Advisen’s Cyber Risk Model of the Year Award and InsuranceERM’s Insurtech Innovator of the Year cat">

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