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The Cyber Risk Of Non-Financial Firms

Author

Listed:
  • Francesco Columba

    (Bank of Italy)

  • Manuel Cugliari

    (Bank of Italy)

  • Marco Orlandi

    (Bank of Italy)

  • Federica Vassalli

    (Bank of Italy)

Abstract

We build a novel indicator of cyber risk vulnerability for Italian non-financial firms applying natural language processing and a large language model to information extracted from financial statements, news, and cyber industry reports. The indicator is based on a taxonomy tailored to the Italian case, that addresses dimensions of cyber risk that so far have not been considered within a unified methodological framework. The new taxonomy captures both the occurrence of cyberattacks and the presence of the associated defensive measures, such as the regulatory compliance, technological defences, and certifications for a large and heterogeneous sample of firms. We find that since 2019 a sizable share of firms has experienced an increase in frequency and heterogeneity of cyberattacks. Firms appear highly vulnerable: the impact of a cyber incident on the vulnerability index in the aftermath of the attack outweighs the mitigating effects of the defensive actions, which require some time to become effective. Also, we observe that firms tend to increase cyber-related information in official reporting following an attack. These findings warrant the integration of cyber risk into credit risk models.

Suggested Citation

  • Francesco Columba & Manuel Cugliari & Marco Orlandi & Federica Vassalli, 2026. "The Cyber Risk Of Non-Financial Firms," Mercati, infrastrutture, sistemi di pagamento (Markets, Infrastructures, Payment Systems) 75, Bank of Italy, Directorate General for Markets and Payment System.
    • Handle: RePEc:bdi:wpmisp:mip_075_26
    as

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    File URL: https://www.bancaditalia.it/pubblicazioni/mercati-infrastrutture-e-sistemi-di-pagamento/approfondimenti/2026-075/N.75-MISP.pdf
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    References listed on IDEAS

    as
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    Full references (including those not matched with items on IDEAS)

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    Keywords

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    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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