Centro de Documentación de Fundación MAPFRE - Modelling and predicting enterprise level cyber risks in the context of sparse data availability

Notas: 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 Registros relacionados: 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. 434-462Materia / lugar / evento: Ciberseguridad Mercado de seguros Gerencia de riesgos Impacto económico Pérdidas Análisis de la rentabilidad Otras clasificaciones: 861

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