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The rapid adoption of cloud computing and artificial intelligence (AI) is transforming cybersecurity governance while introducing complex challenges in accountability, risk management, and digital operational resilience. This review examines the intersection of cloud governance and AI-driven cyber defense, focusing on emerging security vulnerabilities, shared responsibility, regulatory compliance, and strategies for strengthening digital infrastructure. It explores accountability gaps among cloud service providers, customers, developers, and third-party vendors, alongside AI-specific threats, including data poisoning, adversarial manipulation, prompt injection, unauthorized access, and model exploitation. The review also highlights the growing role of AI in enhancing cybersecurity operations through intelligent threat detection, behavioral analysis, anomaly identification, contextual alert prioritization, and accelerated incident response. Furthermore, it evaluates the implications of the European Union's NIS 2 Directive and Digital Operational Resilience Act (DORA) for organizational accountability, ICT risk management, incident reporting, and business continuity. Key protective strategies include lifecycle-based risk assessment, secure-by-design architecture, least-privilege access control, continuous security monitoring, vulnerability testing, model validation, and comprehensive incident response and recovery planning. The findings emphasize that AI-enabled cybersecurity cannot rely solely on automated decision-making; rather, effective protection requires transparent governance, clearly defined responsibilities, continuous human oversight, and coordinated organizational controls. Integrating regulatory frameworks with intelligent defense mechanisms and proactive resilience strategies is essential for mitigating evolving cyber threats and ensuring the confidentiality, integrity, and availability of interconnected digital infrastructures.
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Zarin Tasnim Raisa (2026) studied this question.
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