A cybersecurity risk analysis framework for systems with artificial intelligence components

Fuente: Wiley Open Access
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Main Authors: J.M. Camacho, A. Couce‐Vieira, D. Arroyo, D.R. Insua
Format: Artículo Open Access
Published: Wiley 2025
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author J.M. Camacho
A. Couce‐Vieira
D. Arroyo
D.R. Insua
author_facet J.M. Camacho
A. Couce‐Vieira
D. Arroyo
D.R. Insua
J.M. Camacho
A. Couce‐Vieira
D. Arroyo
D.R. Insua
collection Wiley Open Access
contents A cybersecurity risk analysis framework for systems with artificial intelligence components J.M. Camacho A. Couce‐Vieira D. Arroyo D.R. Insua International Transactions in Operational Research Abstract The introduction of the European Union Artificial Intelligence (AI) Act, the NIST AI Risk Management Framework, and related international norms and policy documents demand a better understanding and implementation of novel risk analysis issues when facing systems with AI components: dealing with new AI‐related impacts; incorporating AI‐based assets within the cyber architecture; considering AI‐based security and recovery controls within the cybersecurity portfolio; and managing novel AI‐based targeted attacks. This paper suggests solutions to such issues and integrates them within a broad novel framework to support risk analysis in systems with AI components and services. An example concerning automated driving systems illustrates the framework validating it conceptually. 10.1111/itor.70049 http://creativecommons.org/licenses/by-nc-nd/4.0/
doi_str_mv 10.1111/itor.70049
format Artículo Open Access
id wiley_oa_10_1111_itor_70049
institution Wiley Open Access
license_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
publishDate 2025
publisher Wiley
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spellingShingle A cybersecurity risk analysis framework for systems with artificial intelligence components
J.M. Camacho
A. Couce‐Vieira
D. Arroyo
D.R. Insua
International Transactions in Operational Research
A cybersecurity risk analysis framework for systems with artificial intelligence components J.M. Camacho A. Couce‐Vieira D. Arroyo D.R. Insua International Transactions in Operational Research Abstract The introduction of the European Union Artificial Intelligence (AI) Act, the NIST AI Risk Management Framework, and related international norms and policy documents demand a better understanding and implementation of novel risk analysis issues when facing systems with AI components: dealing with new AI‐related impacts; incorporating AI‐based assets within the cyber architecture; considering AI‐based security and recovery controls within the cybersecurity portfolio; and managing novel AI‐based targeted attacks. This paper suggests solutions to such issues and integrates them within a broad novel framework to support risk analysis in systems with AI components and services. An example concerning automated driving systems illustrates the framework validating it conceptually. 10.1111/itor.70049 http://creativecommons.org/licenses/by-nc-nd/4.0/
title A cybersecurity risk analysis framework for systems with artificial intelligence components
topic International Transactions in Operational Research
url https://onlinelibrary.wiley.com/doi/10.1111/itor.70049