Cloud failure and cyber insurance: calibration of stress scenarios and diversification

Olivier Lopez () and Daniel Nkameni
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Olivier Lopez: CREST - Centre de Recherche en Économie et Statistique - ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz] - X - École polytechnique - IP Paris - Institut Polytechnique de Paris - ENSAE Paris - École Nationale de la Statistique et de l'Administration Économique - IP Paris - Institut Polytechnique de Paris - CNRS - Centre National de la Recherche Scientifique
Daniel Nkameni: CREST - Centre de Recherche en Économie et Statistique - ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz] - X - École polytechnique - IP Paris - Institut Polytechnique de Paris - ENSAE Paris - École Nationale de la Statistique et de l'Administration Économique - IP Paris - Institut Polytechnique de Paris - CNRS - Centre National de la Recherche Scientifique

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Abstract: The expansion of the cyber insurance market is constantly under the threat of an accumulation event that would affect simultaneously a large number of policyholders. Very few experiences exist on such catastrophes, apart from worldwide cyber attacks like Wannacry and NotPetya in 2017 (in a context where cyber insurance coverage was lower). Nevertheless, the very nature of cyber risk makes the occurrence of such events plausible in the future. There is therefore a need for stress-testing in order to be sure that a portfolio can resist to such a crisis. In this perspective, the EIOPA recently published methodological guidelines specific to cyber. One of the most concerning scenarios is the potential vulnerability of a cloud outage catastrophe, that is the failure of a cloud provider whose solution is shared by a significant part of the portfolio. In the present work, we propose a way to model and calibrate such kind of cloud outage scenario. We also provide way to measure the level of diversification of a cyber insurance portfolio, and how this diversification may protect against such events. A by-product of our methodology is to provide guidelines to underwriters to help reduce the vulnerability of a portfolio to these cloud outage scenarios.

Keywords: Cyber insurance; stress scenarios; cloud outage; portfolio optimization; Cloud failure and cyber insurance (search for similar items in EconPapers)
Date: 2024-09-28
Note: View the original document on HAL open archive server: https://hal.science/hal-04731704v1
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