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Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Balancing AI's Power in Cybersecurity: Opportunities and Vulnerabilities

Authors: Namrata Paygude;

Balancing AI's Power in Cybersecurity: Opportunities and Vulnerabilities

Abstract

Artificial intelligence (AI) is revolutionizing cybersecurity by offering unprecedented opportunities for threat detection, automated responses, and vulnerability management, while simultaneously introducing new vulnerabilities such as adversarial attacks and data poisoning (Accenture, 2025; Trend Micro, 2025). This paper explores the dual-edged nature of AI in cybersecurity, synthesizing recent literature from 2025 reports and studies to examine key opportunities, including enhanced defense mechanisms and predictive analytics, alongside vulnerabilities like AI-driven cybercrimes and model exploitation. Drawing on insights from industry reports and academic reviews, it discusses strategies for balancing these elements through ethical frameworks, regulatory measures, and technological advancements (World Economic Forum, 2025a). Findings underscore the need for proactive mitigation to harness AI's potential while minimizing risks in an evolving threat landscape. A graphical representation illustrates the distribution of AI-related opportunities and vulnerabilities. Keywords: artificial intelligence, cybersecurity, opportunities, vulnerabilities, threat detection, adversarial attacks.

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    popularity
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    influence
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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
Green