An AI-Driven Cloud-Native Enterprise Framework for Intelligent Security Automation and Distributed Data Engineering

Simon Wilson; Simon Wilson

doi:10.15662/ijetemr.2023.0805006

An AI-Driven Cloud-Native Enterprise Framework for Intelligent Security Automation and Distributed Data Engineering

Simon Wilson

Software Engineer, Ministry of Awesome, New Zealand

Abstract

: Modern enterprise environments face unprecedented challenges in managing massive, decentralized data streams while defending against sophisticated, polymorphic cyber threats. This paper proposes an AI-Driven Cloud-Native Enterprise Framework designed to unify Intelligent Security Automation and Distributed Data Engineering into a cohesive, self-healing ecosystem. Leveraging microservices architecture, containerized orchestration, and real-time streaming pipelines, the framework facilitates seamless data ingestion, transformation, and storage across multi-cloud environments. Concurrently, it embeds decentralized machine learning models directly into the data fabric to achieve real-time anomaly detection, automated threat mitigation, and adaptive access control without introducing latency bottlenecks. By employing an event-driven paradigm powered by Apache Kafka and Kubernetes, the system ensures high availability, horizontal scalability, and strict compliance with global data governance standards. The integration of zero-trust architecture with automated MLOps pipelines enables continuous model retraining, mitigating data drift and adapting to evolving threat vectors. Empirical evaluations demonstrate that the framework drastically reduces mean time to detect and respond to security incidents while optimizing compute resource utilization. Ultimately, this research bridges the gap between large-scale data engineering and autonomous enterprise security, offering a robust blueprint for resilient digital transformation

Article Information

Journal	International Journal of Emerging Trends in Engineering and Management Research
Volume (Issue)	Vol. 8 No. 5 (2023): International Journal of Emerging Trends in Engineering and Management Research (IJETEMR)
DOI	https://doi.org/10.15662/ijetemr.2023.0805006
Pages	14374-14382
Published	October 17, 2026
Copyright	All rights reserved
Open Access	This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite	Simon Wilson (%2026). An AI-Driven Cloud-Native Enterprise Framework for Intelligent Security Automation and Distributed Data Engineering. International Journal of Emerging Trends in Engineering and Management Research , Vol. 8 No. 5 (2023): International Journal of Emerging Trends in Engineering and Management Research (IJETEMR) , pp. 14374-14382. https://doi.org/10.15662/ijetemr.2023.0805006

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