THE INTERSECTION OF CYBERSECURITY AND AI LEVERAGING ARTIFICIAL INTELLIGENCE TO MITIGATE EMERGING THREATS

Dr. Luca, Keller and Elena, Fischer (2023) THE INTERSECTION OF CYBERSECURITY AND AI LEVERAGING ARTIFICIAL INTELLIGENCE TO MITIGATE EMERGING THREATS. Synergy: Cross-Disciplinary Journal of Digital Investigation, 1 (1). pp. 99-114. ISSN 2995-4827

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Abstract

As the digital landscape continues to evolve, cybersecurity challenges have become increasingly complex, with emerging threats such as advanced persistent threats (APTs), zero-day vulnerabilities, and ransomware attacks posing significant risks to organizations and individuals alike. In response to these growing challenges, artificial intelligence (AI) is emerging as a transformative force in the realm of cybersecurity. This article explores the intersection of cybersecurity and AI, examining how machine learning, natural language processing, and other AI technologies are being leveraged to detect, analyze, and mitigate sophisticated cyber threats. It highlights the capabilities of AI in automating threat detection, predicting potential attacks, and enhancing real-time decision-making processes to protect sensitive data and systems. Additionally, the article discusses the ethical implications, limitations, and future potential of AI-powered cybersecurity solutions, emphasizing the need for a balanced, human-AI collaboration to effectively combat cyber risks. By examining case studies and current trends, this article provides a comprehensive overview of how AI is reshaping the cybersecurity landscape, offering innovative solutions for mitigating both known and unknown threats in an increasingly interconnected world.

Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Postgraduate > Master's of Islamic Education
Depositing User:	Journal Editor
Date Deposited:	09 Dec 2024 05:36
Last Modified:	09 Dec 2024 05:36
URI:	http://eprints.umsida.ac.id/id/eprint/14766

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