Comprehensive AI Powered Framework for Intelligent Supply Chain Healthcare Security and Cloud Native Enterprise Systems
Abstract
Modern enterprises operate in highly interconnected and data-driven environments where supply chains, healthcare systems, security infrastructures, and cloud-native platforms are increasingly interdependent. Traditional architectures struggle to handle the scale, velocity, and heterogeneity of data generated across these domains. This paper proposes a comprehensive AI-powered framework designed to enable intelligent decision-making, real-time analytics, and adaptive security across supply chain healthcare and cloud-native enterprise ecosystems. The framework integrates machine learning, deep learning, reinforcement learning, and graph-based intelligence with cloud-native microservices, container orchestration, and zero-trust security principles
In supply chain systems, AI enhances demand forecasting, predictive logistics, and anomaly detection in procurement workflows. In healthcare, it supports clinical decision support, patient risk prediction, and secure interoperability of electronic health records. For enterprise cloud environments, AI-driven orchestration optimizes resource allocation, workload balancing, and cyber threat detection. The proposed framework emphasizes interoperability through API-first design, event-driven architectures, and federated learning to ensure privacy-preserving intelligence sharing across distributed systems
Furthermore, the model incorporates cybersecurity-by-design principles, leveraging AI-based intrusion detection systems and behavioral analytics. By unifying these capabilities, the framework aims to improve resilience, operational efficiency, and security posture across complex digital ecosystems. The study highlights the need for scalable, ethical, and explainable AI systems to support mission-critical enterprise applications
Article Information
Journal |
International Journal of Advanced Engineering Science and Information Technology (IJAESIT) |
|---|---|
Volume (Issue) |
Vol. 9 No. 4 (2026): International Journal of Advanced Engineering Science and Information Technology (IJAESIT) |
DOI |
|
Pages |
1250-1258 |
Published |
July 4, 2026 |
| Copyright | |
Open Access |
This work is licensed under a Creative Commons Attribution 4.0 International License. |
How to Cite |
Lars Gustav Holmberg (2026). Comprehensive AI Powered Framework for Intelligent Supply Chain Healthcare Security and Cloud Native Enterprise Systems. International Journal of Advanced Engineering Science and Information Technology (IJAESIT) , Vol. 9 No. 4 (2026): International Journal of Advanced Engineering Science and Information Technology (IJAESIT) , pp. 1250-1258. https://doi.org/10.15662/IJAESIT.2026.0904001 |
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