Analyzing the Impact of Artificial Intelligence on Cybersecurity: Threat Detection, Prevention, and Risk Management Strategies
DOI:
https://doi.org/10.63282/3050-9262.IJAIDSML-V1I4P103Keywords:
AI, ML, Cybersecurity, Risk Management, Human analystAbstract
Artificial Intelligence (AI) has emerged as a transformative technology in the realm of cybersecurity, offering advanced capabilities for threat detection, prevention, and risk management. This paper explores the multifaceted impact of AI on cybersecurity, delving into its applications, benefits, and challenges. We examine how AI-driven systems enhance threat detection through machine learning algorithms, improve prevention mechanisms by automating response actions, and refine risk management strategies through predictive analytics. The paper also discusses the ethical and privacy implications of AI in cybersecurity and provides a comprehensive overview of current research and future directions. Through a combination of theoretical analysis and empirical evidence, this study aims to provide a robust framework for understanding and leveraging AI in the cybersecurity domain
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