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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

Leveraging generative AI for Security: Opportunities and challenges

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  • Leveraging generative AI for Security: Opportunities and challenges

Yogesh Kumar Bhardwaj *

CAPELLA UNIVERSITY, USA.

Review Article

World Journal of Advanced Research and Reviews, 2025, 26(02), 1536-1543

Article DOI: 10.30574/wjarr.2025.26.2.1831

DOI url: https://doi.org/10.30574/wjarr.2025.26.2.1831

Received on 02 April 2025; revised on 10 May 2025; accepted on 12 May 2025

This article explores the transformative role of Generative Artificial Intelligence (GenAI) in cybersecurity operations. While traditional AI systems have focused primarily on predictive and classification tasks, GenAI creates entirely new content based on patterns learned from extensive datasets, representing both significant opportunities and notable challenges for security professionals. It examines the dual nature of GenAI, highlighting how the same technologies that enable sophisticated threat actor capabilities also provide powerful defensive tools. Key security applications include automated log analysis, threat intelligence processing, biometric authentication enhancements, and predictive maintenance of security infrastructure. The article details operational benefits including reduced analyst workload, enhanced productivity, decreased cognitive fatigue, accelerated onboarding processes, and improved team collaboration. The article further analyzes implementation approaches across varying complexity levels, providing organizations with a framework to assess their GenAI security journey based on their security maturity and technical capabilities.

Generative Artificial Intelligence; Cybersecurity Operations; Threat Detection; Security Automation; Compliance Management

https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-1831.pdf

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Yogesh Kumar Bhardwaj. Leveraging generative AI for Security: Opportunities and challenges. World Journal of Advanced Research and Reviews, 2025, 26(2), 1536-1543. Article DOI: https://doi.org/10.30574/wjarr.2025.26.2.1831

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


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