AI-Enhanced Cybersecurity Proactive Measures against Ransomware and Emerging Threats

Dr. Alessandro, Rossi and Giulia, Bianchi (2024) AI-Enhanced Cybersecurity Proactive Measures against Ransomware and Emerging Threats. Innovative: International Multi-disciplinary Journal of Applied Technology, 2 (11). pp. 77-92. ISSN 2995-486X

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Abstract

The rapid evolution of cyber threats, particularly ransomware attacks, has necessitated the integration of advanced technologies in cybersecurity strategies. This article explores the role of Artificial Intelligence (AI) in enhancing cybersecurity defenses, with a focus on proactive measures against ransomware and emerging cyber threats. It delves into how AI-driven systems can detect and mitigate threats in real-time, leveraging machine learning and predictive analytics to identify vulnerabilities before they are exploited. The paper examines key AI technologies, such as anomaly detection, behavioral analysis, and automated response systems, and their application in creating adaptive security frameworks. Additionally, it addresses the evolving nature of cyber threats, the challenges posed by increasingly sophisticated attackers, and the critical need for continuous innovation in cybersecurity strategies. By outlining practical approaches and case studies, this article provides insights into the potential of AI to not only enhance the resilience of systems but also to anticipate and neutralize threats before they can cause significant damage.

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 05:33
Last Modified:	09 Dec 2024 05:33
URI:	http://eprints.umsida.ac.id/id/eprint/14765

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