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Modelling and predicting enterprise level cyber risks in the context of sparse data availability
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MAP20230012383
Zängerle, Daniel ‌
Modelling and predicting enterprise level cyber risks in the context of sparse data availability / Daniel Zängerle, Dirk Schiereck
Sumario: Despite growing attention to cyber risks in research and practice, quantitative cyber risk assessments remain limited, mainly due to a lack of reliable data. This analysis leverages sparse historical data to quantify the financial impact of cyber incidents at the enterprise level. The results suggest that the probability of a cyber incident correlates with the subindustry, with the insurance sector being particularly exposed. The predicted financial losses from a cyber incident are less extreme than cited in recent investigations. The study confirms that cyber risks are heavy-tailed, jeopardising business operations and profitability
En: Geneva papers on risk and insurance : issues and practice. - Geneva : The Geneva Association, 1976- = ISSN 1018-5895. - 03/04/2023 Volumen 48 Número 2 - abril 2023 , p. 434-462
1. Ciberseguridad ‌. 2. Mercado de seguros ‌. 3. Gerencia de riesgos ‌. 4. Impacto económico ‌. 5. Pérdidas ‌. 6. Análisis de la rentabilidad ‌. I. Title.