Leveraging generative AI for Security: Opportunities and challenges

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.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-31
DOI
https://doi.org/10.5281/zenodo.17310151
Primary Topic
Insect-Plant Interactions and Control
Type
article
Field-Weighted Citation Impact
0.00
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article

Leveraging generative AI for Security: Opportunities and challenges

Zenodo (CERN European Organization for Nuclear Research)
Insect-Plant Interactions and Control
article

Leveraging generative AI for Security: Opportunities and challenges

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Capella University (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 40%
Insect-Plant Interactions and Control
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