DYNAMIC CYBERSECURITY RISK MANAGEMENT BASED ON EXPLAINABLE AI (XAI) AND LLMS FOR JUSTIFYING CYBERINSURANCE DECISIONS
N.B. AsrorovaTashkent University of Information Technologies named after Muhammad al-Khwarizmi, Samarkand Branch, Samarkand, Uzbekistan
Open MINDrepository2026
ABI
Abstract
Assessing cybersecurity risks is challenging due to dynamic threats, exploitation of vulnerabilities, and the constantly changing security context. Cyber insurance is an important tool for mitigating such risks. This paper proposes a dynamic cybersecurity risk management approach based on Explainable AI (XAI) and LLM, which evaluates risk levels in real time and ensures transparency in decision-making. Experimental results demonstrate 96.9% accuracy in identifying exploitable vulnerabilities and support informed cyber insurance decisions based on residual risk.
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