Cybersecurity management plays a key role in preserving the operational security of nuclear power plants (NPPs), ensuring service continuity and system resilience. The growing number of sophisticated cyber-attacks against NPPs requires cybersecurity experts to detect, analyze, and defend systems and data from cyber threats in near real time. However, managing a large numbers of attacks in a timely manner is impossible without the support of Artificial Intelligence (AI). This study recognizes the need for a structured and in-depth analysis of the literature in the context of NPPs, referring to the role of AI technology in supporting cyber risk assessment processes. For this reason, a systematic literature review (SLR) is adopted to address the following areas of analysis: (i) critical assets to be preserved from cyber-attacks through AI, (ii) security vulnerabilities and cyber threats managed using AI, (iii) cyber risks and business impacts that can be assessed by AI, and (iv) AI-based security countermeasures to mitigate cyber risks. The SLR procedure follows a macro-step approach that includes review planning, search execution and document selection, and document analysis and resu
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