Leveraging generative AI for Security: Opportunities and challenges

Bhardwaj, Yogesh Kumar (2025) Leveraging generative AI for Security: Opportunities and challenges. World Journal of Advanced Research and Reviews, 26 (2). pp. 1536-1543. ISSN 2581-9615

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.