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Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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A Composite and Impactal Study on the Utility of AI-Powered Cybersecurity

Authors: Navatheja N, Dr. Magan Bihari G. Aggarwal;

A Composite and Impactal Study on the Utility of AI-Powered Cybersecurity

Abstract

Artificial Intelligence (AI) has transformed cybersecurity by enhancing threat detection, prevention, and incident response. With the growing complexity of cyber threats, AI-driven solutions offer real-time analysis and automated security responses, enabling organizations to mitigate potential risks efficiently. This research article provides an in-depth study of AI-powered cybersecurity, exploring its applications, advantages, challenges, and future prospects. The study highlights how AI-based security frameworks leverage machine learning, deep learning, and automation to detect vulnerabilities, analyze large-scale datasets, and adapt to emerging threats. Moreover, the paper discusses ethical concerns, data privacy issues, and adversarial AI attacks that pose risks to AI-driven security mechanisms. The role of AI in identity verification, behavioral analysis, and predictive security is examined to showcase its effectiveness in maintaining robust digital security infrastructures. This paper aims to assess the effectiveness of AI in cybersecurity and its utility in protecting digital infrastructures while addressing challenges that must be overcome to ensure a secure cyber landscape.Artificial Intelligence (AI) has transformed cybersecurity by enhancing threat detection, prevention, and incident response.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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