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Building Generative AI Driven Cloud Native Platforms for Enterprise Threat Intelligence and Automated Response

Geetha Nagarajan

Department of CSE, SA Engineering College, Chennai, India

Abstract

Generative artificial intelligence (GenAI) is transforming enterprise cybersecurity by enabling cloud-native platforms that can analyze complex threat environments, generate actionable intelligence, and automate incident response processes. Modern enterprises face increasingly sophisticated cyber threats that require adaptive and intelligent security mechanisms beyond traditional detection systems. Generative AI-driven cloud platforms combine large language models, machine learning techniques, cloud computing architectures, and security automation to improve threat identification, investigation, and mitigation. These platforms process vast amounts of security data from multiple sources, including networks, applications, endpoints, and external intelligence feeds, to generate contextual insights and support faster decision-making. This research examines the development of GenAI-driven cloud-native platforms for enterprise threat intelligence and automated response. It explores technological foundations, existing research trends, and methodological approaches for evaluating intelligent cybersecurity solutions. The study highlights how generative AI can enhance proactive defense capabilities while addressing challenges related to scalability, privacy, reliability, and responsible AI deployment

Article Information

Journal

International Journal of Advanced Engineering Science and Information Technology (IJAESIT)

Volume (Issue)

Vol. 6 No. 5 (2023): International Journal of Advanced Engineering Science and Information Technology (IJAESIT)

DOI

https://doi.org/10.15662/IJAESIT.2023.0605005

Pages

12459-12467

Published

October 17, 2023
Copyright

Open Access

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Geetha Nagarajan (2023). Building Generative AI Driven Cloud Native Platforms for Enterprise Threat Intelligence and Automated Response. International Journal of Advanced Engineering Science and Information Technology (IJAESIT) , Vol. 6 No. 5 (2023): International Journal of Advanced Engineering Science and Information Technology (IJAESIT) , pp. 12459-12467. https://doi.org/10.15662/IJAESIT.2023.0605005

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