Published Paper Details:

This research paper presents a comprehensive analysis of the evolution of network security, contrasting traditional methods with innovative AI-driven approaches. It scrutinizes the inadequacies of conventional security systems, emphasizing their inability to cope with sophisticated and rapidly changing cyber threats. The paper strongly advocates for the integration of Artificial Intelligence in network security, highlighting its potential in data analysis, adaptation to new threats, and enhancement of predictive capabilities. The study discusses the proactive, dynamic nature of AI in detecting and responding to cyber threats, significantly outperforming traditional techniques. Additionally, it addresses the challenges and ethical implications of employing AI in this field, recommending a balanced strategy that combines human expertise with AI advancements. This abstract encapsulates the paper's exploration into the transformative impact of AI on network security, proposing AI integration as a crucial step towards effectively countering complex cyber threats.