The Role of Artificial Intelligence in Enhancing Cybersecurity (Challenges, Mechanisms, and Future Prospects)
Keywords:
الذكاء الاصطناعي، الأمن السيبراني، التعلم العميق، الذكاء الاصطناعي القابل للتفسير (XAI)، هجمات اليوم الصفر.Abstract
This study examines the pivotal role of Artificial Intelligence (AI) in bolstering
cybersecurity frameworks to counter the sophisticated digital threats of 2025 and beyond. The research problem centers on the inadequacy of traditional defense systems in detecting dynamic threats, such as ransomware and zero-day attacks. The paper adopts a technical comparative analysis methodology, evaluating Machine Learning (ML) algorithms against conventional rule-based security systems. Findings indicate that the integration of Deep Learning (DL) techniques contributes to a reduction in incident response time by over 60%, while simultaneously enhancing the accuracy of proactive detection for anomalous behavioral patterns (IBM Security, 2024). The study concludes by emphasizing the critical importance of adopting Explainable AI (XAI) models to mitigate the "black box" phenomenon and ensure the reliability and transparency of automated security decisions.
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References
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