The rapid evolution of Artificial Intelligence (AI) has significantly impacted cybersecurity, offering both opportunities and challenges. While AI enhances threat detection, anomaly identification, and automated response systems, it also introduces new vulnerabilities, such as adversarial attacks and AI-powered cyber threats. This PhD thesis explores the intersection of AI and security, focusing on machine learning (ML) and deep learning (DL) techniques for cyber defense, the risks posed by malicious AI, and strategies to mitigate these threats. The research proposes novel AI-driven security frameworks, evaluates their effectiveness against emerging cyber threats, and discusses ethical considerations in AI-based security solutions.
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Hideki Toya (2025) studied this question.
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