The Influence of Artificial Intelligence on Data System Security

Data system security has emerged as a top concern for businesses throughout the globe in today's fast-paced digital environment. The increasing sophistication and frequency of cyber-attacks necessitate more sophisticated and flexible forms of defense measures to deal with them. Machine learning, deep learning, and behavioral analytics are all forms of Artificial Intelligence (AI), which has become a revolutionary area of cybersecurity. This paper looks at how AI can enhance the security of a data system in general, and how it can be applied in threat detection, intrusion prevention, malware analysis, and predictive security, in particular. The intertwining of AI technology allows automated responses to potential threats, real-time anomaly detection, and enormous amounts of data processing. This paper gives an informative review of the extent to which AI is transforming the cybersecurity space and enhancing cyber infrastructures through investigating the latest progress and deployment plans.

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Publication Details

Journal
International Journal of Computational and Experimental Science and Engineering
Published
2025-07-19
DOI
https://doi.org/10.22399/ijcesen.3476
Citations
5
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
7.44
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article

The Influence of Artificial Intelligence on Data System Security

Jobanpreet Kaur, Harleen Kaur, Syed Nazmul Hasan, Mia Md Tofayel Gonee Manik et al.
5 citations
International Journal of Computational and Experimental Science and Engineering
Network Security and Intrusion Detection
7.44
article

The Influence of Artificial Intelligence on Data System Security

Jobanpreet Kaur, Harleen Kaur, Syed Nazmul Hasan, Mia Md Tofayel Gonee Manik, Kazi Bushra Siddiqa, Urmi Haldar, Sraboni Clara Mohonta, Аsikur Rаhmаn Chy
article en
5 citations

Abstract

Data system security has emerged as a top concern for businesses throughout the globe in today's fast-paced digital environment. The increasing sophistication and frequency of cyber-attacks necessitate more sophisticated and flexible forms of defense measures to deal with them. Machine learning, deep learning, and behavioral analytics are all forms of Artificial Intelligence (AI), which has become a revolutionary area of cybersecurity. This paper looks at how AI can enhance the security of a data system in general, and how it can be applied in threat detection, intrusion prevention, malware analysis, and predictive security, in particular. The intertwining of AI technology allows automated responses to potential threats, real-time anomaly detection, and enormous amounts of data processing. This paper gives an informative review of the extent to which AI is transforming the cybersecurity space and enhancing cyber infrastructures through investigating the latest progress and deployment plans.

International Journal of Computational and Experimental Science and EngineeringVol. 11(3)
Baruch College (US), American University (US), Glasgow Caledonian University (GB), University of California, Irvine (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 3%
Network Security and Intrusion Detection
7.44
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The Influence of Artificial Intelligence on Data System Security — Jobanpreet Kaur, Harleen Kaur, et al. · International Journal of Computational and Experimental Science and Engineering (2025) | TGRS Research Map | TGRS