Abstract

The global integration of the internet has led to a significant increase in the importance of cybersecurity. Artificial Intelligence (AI) has emerged as a viable solution for enhancing cybersecurity measures. AI has the potential to improve the speed and effectiveness of detecting and responding to cyber threats. This study explores the intersection of network security and AI, with a focus on the various ways in which AI can be used to enhance network security, such as intrusion detection, malware detection, and behavioural analytics. The study also examines the potential risks associated with AI in cybersecurity, including the possibility of AI being utilized for cyber-attacks. Additionally, the study discusses the challenges associated with implementing AI for network security, such as the lack of available large datasets for AI training, network infrastructure complexity, and the requirement for skilled AI professionals in cybersecurity. Ethical considerations arising from the use of AI in network security are also addressed. The study emphasizes the need for a balanced approach towards integrating AI into cybersecurity measures, taking into account potential benefits and challenges.

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