The rapid evolution of cyber threats has made it imperative to adopt advanced and dynamic security mechanisms to protect digital infrastructures from sophisticated attacks. Traditional cybersecurity approaches, while effective to some extent, often struggle to detect new and evolving threats due to their rule-based and signaturedriven limitations. Artificial Intelligence (AI) has emerged as a transformative force in the field of cybersecurity, providing intelligent, adaptive, and proactive security solutions. By utilizing machine learning (ML), deep learning (DL), and other AI techniques, modern security systems can analyze vast amounts of data, identify hidden patterns, and detect anomalies in real time. AI-driven cybersecurity solutions not only enhance the accuracy of threat detection but also reduce response times and minimize human dependency in security operations. This paper explores the integration of AI in cybersecurity, its benefits, challenges, and future prospects. Additionally, it presents real-world applications of AI-driven security solutions and emphasizes the importance of continuous technological advancements in mitigating cyber risks. The study highlights the need for ongoing research to improve AI’s resilience against adversarial attacks and ensure ethical and responsible AI-driven security frameworks.
Volume 17 | Issue 1
Pages: 155-163