AI Integration and Its Impact on Cyber Defense: A Theoretical Analysis
Author(s): SWAPNA, S.L. ; SIVALINGAM, Vidya
Author(s) keywords: AI-powered threat detection, artificial intelligence in cybersecurity, cybersecurity solutions, Machine Learning for cyber defense
Reference keywords: artificial intelligence, cyber defence, machine learning
Abstract:
The rapid evolution of cyber threats has made cybersecurity a critical priority for both organizations and individuals. As the complexity and frequency of these threats escalate, traditional defense mechanisms often fall short. Artificial Intelligence (AI) has emerged as a transformative force in the cybersecurity domain, offering innovative solutions to enhance threat detection, prevention, and response. This article explores the integration of AI in cybersecurity, beginning with an overview of its fundamental principles and applications. Key AI-driven solutions, such as machine learning algorithms for malware detection and behavioral analysis, are examined to illustrate how AI strengthens defense mechanisms. Despite its significant advantages, AI in cybersecurity faces challenges, including ethical concerns, data privacy issues, and the inherent limitations of AI models. This paper also addresses the regulatory implications of AI adoption in cyber defense and highlights emerging trends and future directions that will shape the landscape of AI-powered cybersecurity. Through this comprehensive analysis, the article aims to provide a deeper understanding of the potential and challenges of AI in fortifying modern cyber defenses.
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Article Title: AI Integration and Its Impact on Cyber Defense: A Theoretical Analysis
Author(s): SWAPNA, S.L. ; SIVALINGAM, Vidya
Date of Publication: 2025-06-30
Publication: International Journal of Information Security and Cybercrime
ISSN: 2285-9225 e-ISSN: 2286-0096
Digital Object Identifier: 10.19107/IJISC.2025.01.05
Issue: Volume XIV, Issue 1, Year 2025
Section: Cyber-Attacks Evolution and Cybercrime Trends
Page Range: 76-87 (12 pages)
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