Intelligent Cloud-Native Architecture for AI-Driven Cybersecurity Healthcare Analytics Financial Systems and Autonomous Infrastructure
DOI:
https://doi.org/10.21590/ijtmh.11.04.11Keywords:
Cloud-Native Enterprise Architecture, AI-Driven Cybersecurity, Healthcare Data Analytics.Abstract
The increasing complexity of enterprise digital ecosystems has created significant challenges in managing security, scalability, and real-time data analytics across various industries. Modern enterprises, particularly in sectors such as healthcare and finance, rely heavily on cloud infrastructures to process massive volumes of sensitive data. However, traditional enterprise architectures often struggle to address cybersecurity threats, data management complexities, and infrastructure scalability requirements. To overcome these limitations, organizations are increasingly adopting cloud-native architectures integrated with artificial intelligence technologies.
This research proposes an intelligent cloud-native enterprise architecture designed to support AI-driven cybersecurity, healthcare data analytics, financial systems, and autonomous infrastructure management. The proposed architecture integrates microservices, containerization, cloud orchestration platforms, and machine learning-based analytics to create a scalable and secure enterprise ecosystem. Artificial intelligence models are used to detect cybersecurity threats, analyze healthcare datasets, and optimize financial operations through predictive analytics.
The framework also enables autonomous infrastructure management by incorporating intelligent monitoring systems capable of automatically detecting performance issues and adjusting system resources dynamically. The research presents architectural design principles, system integration strategies, and evaluation methods for implementing intelligent enterprise infrastructures. The proposed architecture aims to improve enterprise security, enhance data-driven decision-making, and support large-scale digital transformation initiatives across modern organizations.
Intelligent cloud native architecture, AI driven cybersecurity, healthcare data analytics, financial systems security, autonomous infrastructure management, cloud native enterprise systems, machine learning security analytics, zero trust cloud security, intelligent automation infrastructure, predictive threat detection, secure cloud computing, AI powered digital transformation
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