The Transformative Power of AI in Cybersecurity

Led by artificial intelligence, the world of information security is undergoing a revolutionary change. To find out how this sea change is shaping the future, this paper seeks out the hallmarks. It dissects and analyzes the outcome of AI potential threats to revolutionize security posture, looking at in turn its potential impact on threat detection and response. A variety of AI methods (e.g., machine learning, deep learning, natural language processing) and their effectiveness are detailed in reference to contemporary cybersecurity problems. Then it also briefly touches on both the positive and negatives of AI from this perspective. This includes ethical issues regarding responsibility for implementation, and practical questions required to ensure proper and useful utilization.

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Publication Details

Published
2025-06-27
DOI
https://doi.org/10.1109/isas66241.2025.11101884
Citations
1
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
1.49
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article

The Transformative Power of AI in Cybersecurity

M.A. Ahmed, Mohammed Al-Hubaishi
1 citations
Network Security and Intrusion Detection
1.49
article

The Transformative Power of AI in Cybersecurity

M.A. Ahmed, Mohammed Al-Hubaishi
article en
1 citations

Abstract

Led by artificial intelligence, the world of information security is undergoing a revolutionary change. To find out how this sea change is shaping the future, this paper seeks out the hallmarks. It dissects and analyzes the outcome of AI potential threats to revolutionize security posture, looking at in turn its potential impact on threat detection and response. A variety of AI methods (e.g., machine learning, deep learning, natural language processing) and their effectiveness are detailed in reference to contemporary cybersecurity problems. Then it also briefly touches on both the positive and negatives of AI from this perspective. This includes ethical issues regarding responsibility for implementation, and practical questions required to ensure proper and useful utilization.

Haliç University (TR)
Openalex Percentile: Top 14%
Network Security and Intrusion Detection
1.49
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