Automating Cybersecurity Decision‑Making with AI and the Analytic Hierarchy Process

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dc.contributor.authorSvoboda, Igor
dc.date.accessioned2026-02-26T09:49:23Z
dc.date.available2026-02-26T09:49:23Z
dc.date.issued2025
dc.description.abstractCybersecurity decisions in large organizations routinely require the integration of heterogeneous qualitative and quantitative considerations. The Analytic Hierarchy Process (AHP) offers a principled framework for such multi-criteria settings, yet reliance on human expert panels constrains scalability and cadence. This study examines whether large language model (LLM) agents can substitute for human panels within AHP without compromising methodological discipline. Seven GPT-4 personas are instantiated as virtual experts and coordinated by an AHP guide to structure and evaluate defenses against social-engineering attacks on a corporate data center. The agents elicit criteria and sub-criteria, construct pairwise comparison matrices, and synthesize priorities under standard AHP procedures. Aggregated judgments exhibit strong internal coherence (top-level consistency ratio CR = 0.016; λ_max = 7.13), yielding a stable ranking of alternatives: comprehensive employee training (0.2774), advanced intrusion detection (0.2240), cloud-based data backup (0.1938), targeted refresher training for security staff (0.1795), and physical barrier enhancements (0.1254). The results indicate that GPT-4 agents can emulate expert judgment for multi-criteria cybersecurity decisions at materially lower cost than human panels, while preserving the methodological rigor of AHP.
dc.format.pagerangeP. 91-97
dc.identifier.citationSvoboda, I. Automating Cybersecurity Decision‑Making with AI and the Analytic Hierarchy Process / Igor Svoboda // Theoretical and Applied Cybersecurity: scientific journal. – 2025. – Vol. 7, No. 2. – P. 91-97. – Bibliogr.: 22 ref.
dc.identifier.doihttps://doi.org/10.20535/tacs.2664-29132025.2.338865
dc.identifier.urihttps://ela.kpi.ua/handle/123456789/79075
dc.language.isoen
dc.publisherIgor Sikorsky Kyiv Polytechnic Institute
dc.publisher.placeKyiv
dc.relation.ispartofTheoretical and Applied Cybersecurity: scientific journal, Vol. 7, No. 2
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/deed.uk
dc.subjectGPT‑4
dc.subjectAHP
dc.subjectLLM
dc.subjectgenerative AI
dc.subjectvirtual experts
dc.subjectautonomous agents
dc.subjectmulti‑criteria decision‑making (MCDM)
dc.subjectcybersecurity
dc.subject.udc004.89
dc.titleAutomating Cybersecurity Decision‑Making with AI and the Analytic Hierarchy Process
dc.typeArticle

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Theoretical and Applied Cybersecurity: scientific journal, Vol. 7, No. 2