Adaptive Network Modelling for Cybersecurity Risk Management in Supply Chains: The Role of AI Coaching in Endpoint Protection

Yan Lam; Jan Treur; Peter H.M.P. Roelofsma

doi:10.1007/978-3-032-20749-4_11

Adaptive Network Modelling for Cybersecurity Risk Management in Supply Chains: The Role of AI Coaching in Endpoint Protection

Yan Lam
, Jan Treur^*
, Peter H.M.P. Roelofsma

^*Corresponding author for this work

Artificial Intelligence

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

Abstract

Cybersecurity threats targeting endpoint devices pose significant risks to the integrity and continuity of supply chains. As employees often represent the first line of defence, their ability to detect and respond to cyber incidents is crucial, but also highly variable, influenced by factors such as training, experience, and cognitive limitations. This study explores how artificial intelligence (AI) coaching can help in human decision-making in the context of endpoint cyber risk management. Comparative analysis of simulation results shows that an AI-coached model improves breach recognition, accelerates response behaviours, and reduces the likelihood of severe outcomes. The findings suggest that AI coaching is a promising strategy for strengthening human-centric cybersecurity practices in digitally integrated supply chains.

Original language	English
Title of host publication	Focus on Artificial Intelligence in Intelligent Systems Design
Subtitle of host publication	Proceedings of 9th Computational Methods in Systems and Software 2025, Volume 2
Editors	Radek Silhavy, Petr Silhavy
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	142-156
Number of pages	15
Volume	2
ISBN (Electronic)	9783032207494
ISBN (Print)	9783032207487
DOIs	https://doi.org/10.1007/978-3-032-20749-4_11
Publication status	Published - 2026
Event	9th International Conference on Computational Methods in Systems and Software, CoMeSySo 2025 - Zlín, Czech Republic Duration: 1 Oct 2025 → 3 Oct 2025

Publication series

Name	Lecture Notes in Networks and Systems
Volume	1899 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	9th International Conference on Computational Methods in Systems and Software, CoMeSySo 2025
Country/Territory	Czech Republic
City	Zlín
Period	1/10/25 → 3/10/25

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

Keywords

AI Coach
Cybersecurity
data breach
Endpoint
Malware
Network-Oriented Modelling
supply chains
What-If Analyses

Access to Document

10.1007/978-3-032-20749-4_11

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Cite this

Lam, Y., Treur, J., & Roelofsma, P. H. M. P. (2026). Adaptive Network Modelling for Cybersecurity Risk Management in Supply Chains: The Role of AI Coaching in Endpoint Protection. In R. Silhavy, & P. Silhavy (Eds.), Focus on Artificial Intelligence in Intelligent Systems Design: Proceedings of 9th Computational Methods in Systems and Software 2025, Volume 2 (Vol. 2, pp. 142-156). (Lecture Notes in Networks and Systems; Vol. 1899 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-032-20749-4_11

Lam, Yan ; Treur, Jan ; Roelofsma, Peter H.M.P. / Adaptive Network Modelling for Cybersecurity Risk Management in Supply Chains : The Role of AI Coaching in Endpoint Protection. Focus on Artificial Intelligence in Intelligent Systems Design: Proceedings of 9th Computational Methods in Systems and Software 2025, Volume 2. editor / Radek Silhavy ; Petr Silhavy. Vol. 2 Springer Science and Business Media Deutschland GmbH, 2026. pp. 142-156 (Lecture Notes in Networks and Systems).

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title = "Adaptive Network Modelling for Cybersecurity Risk Management in Supply Chains: The Role of AI Coaching in Endpoint Protection",

abstract = "Cybersecurity threats targeting endpoint devices pose significant risks to the integrity and continuity of supply chains. As employees often represent the first line of defence, their ability to detect and respond to cyber incidents is crucial, but also highly variable, influenced by factors such as training, experience, and cognitive limitations. This study explores how artificial intelligence (AI) coaching can help in human decision-making in the context of endpoint cyber risk management. Comparative analysis of simulation results shows that an AI-coached model improves breach recognition, accelerates response behaviours, and reduces the likelihood of severe outcomes. The findings suggest that AI coaching is a promising strategy for strengthening human-centric cybersecurity practices in digitally integrated supply chains.",

keywords = "AI Coach, Cybersecurity, data breach, Endpoint, Malware, Network-Oriented Modelling, supply chains, What-If Analyses",

author = "Yan Lam and Jan Treur and Roelofsma, \{Peter H.M.P.\}",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.; 9th International Conference on Computational Methods in Systems and Software, CoMeSySo 2025 ; Conference date: 01-10-2025 Through 03-10-2025",

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language = "English",

isbn = "9783032207487",

volume = "2",

series = "Lecture Notes in Networks and Systems",

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Lam, Y, Treur, J & Roelofsma, PHMP 2026, Adaptive Network Modelling for Cybersecurity Risk Management in Supply Chains: The Role of AI Coaching in Endpoint Protection. in R Silhavy & P Silhavy (eds), Focus on Artificial Intelligence in Intelligent Systems Design: Proceedings of 9th Computational Methods in Systems and Software 2025, Volume 2. vol. 2, Lecture Notes in Networks and Systems, vol. 1899 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 142-156, 9th International Conference on Computational Methods in Systems and Software, CoMeSySo 2025, Zlín, Czech Republic, 1/10/25. https://doi.org/10.1007/978-3-032-20749-4_11

Adaptive Network Modelling for Cybersecurity Risk Management in Supply Chains: The Role of AI Coaching in Endpoint Protection. / Lam, Yan; Treur, Jan; Roelofsma, Peter H.M.P.
Focus on Artificial Intelligence in Intelligent Systems Design: Proceedings of 9th Computational Methods in Systems and Software 2025, Volume 2. ed. / Radek Silhavy; Petr Silhavy. Vol. 2 Springer Science and Business Media Deutschland GmbH, 2026. p. 142-156 (Lecture Notes in Networks and Systems; Vol. 1899 LNNS).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

PY - 2026

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N2 - Cybersecurity threats targeting endpoint devices pose significant risks to the integrity and continuity of supply chains. As employees often represent the first line of defence, their ability to detect and respond to cyber incidents is crucial, but also highly variable, influenced by factors such as training, experience, and cognitive limitations. This study explores how artificial intelligence (AI) coaching can help in human decision-making in the context of endpoint cyber risk management. Comparative analysis of simulation results shows that an AI-coached model improves breach recognition, accelerates response behaviours, and reduces the likelihood of severe outcomes. The findings suggest that AI coaching is a promising strategy for strengthening human-centric cybersecurity practices in digitally integrated supply chains.

AB - Cybersecurity threats targeting endpoint devices pose significant risks to the integrity and continuity of supply chains. As employees often represent the first line of defence, their ability to detect and respond to cyber incidents is crucial, but also highly variable, influenced by factors such as training, experience, and cognitive limitations. This study explores how artificial intelligence (AI) coaching can help in human decision-making in the context of endpoint cyber risk management. Comparative analysis of simulation results shows that an AI-coached model improves breach recognition, accelerates response behaviours, and reduces the likelihood of severe outcomes. The findings suggest that AI coaching is a promising strategy for strengthening human-centric cybersecurity practices in digitally integrated supply chains.

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Lam Y, Treur J, Roelofsma PHMP. Adaptive Network Modelling for Cybersecurity Risk Management in Supply Chains: The Role of AI Coaching in Endpoint Protection. In Silhavy R, Silhavy P, editors, Focus on Artificial Intelligence in Intelligent Systems Design: Proceedings of 9th Computational Methods in Systems and Software 2025, Volume 2. Vol. 2. Springer Science and Business Media Deutschland GmbH. 2026. p. 142-156. (Lecture Notes in Networks and Systems). Epub 2026 Apr 1. doi: 10.1007/978-3-032-20749-4_11

Adaptive Network Modelling for Cybersecurity Risk Management in Supply Chains: The Role of AI Coaching in Endpoint Protection

Abstract

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Bibliographical note

Keywords

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