Leveraging Artificial Intelligence to Enhance Data Security and Combat Cyber Attacks

Yijie Weng () and Jianhao Wu ()

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, 2024, vol. 5, issue 1, 392-399

Abstract: This research paper examines the potential of artificial intelligence (AI) in strengthening data security and mitigating the growing threat of cyber-attacks. As digital threats continue to evolve and pose significant risks to businesses, organizations, government agencies, and individual users, there is an urgent need for more robust and adaptive security measures. This study explores how AI can be leveraged to enhance network and data security, focusing on its applications in threat detection, response automation, and predictive analysis. Through a comprehensive literature review and analysis of current AI-driven security solutions, this research aims to provide insights into the effectiveness of AI in cybersecurity and propose strategies for its implementation. The findings suggest that AI has the potential to significantly improve cybersecurity measures, offering faster threat detection, more accurate risk assessment, and enhanced response capabilities. However, challenges related to AI implementation, data privacy, and the need for human oversight are also addressed. This research contributes to the growing body of knowledge on AI applications in cybersecurity and provides valuable recommendations for organizations seeking to strengthen their security posture in an increasingly complex digital landscape.

Keywords: Artificial Intelligence; National Security; Data Security; Data Privacy; Cybersecurity (search for similar items in EconPapers)
Date: 2024
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