AI Powered Secure Automation Framework for Enterprise Kubernetes Cloud Healthcare Platforms
DOI:
https://doi.org/10.15662/IJRAI.2025.0804014Keywords:
AI Security, Kubernetes, Healthcare Cloud, Secure Automation, Zero Trust Architecture, DevSecOps, HIPAA Compliance, Machine Learning, Cloud Native Security, Container Orchestration, Enterprise Cloud, Threat Detection, Policy as Code, Healthcare IT InfrastructureAbstract
The rapid digital transformation of healthcare systems has led to widespread adoption of cloud-native architectures, particularly Kubernetes-based container orchestration platforms. While Kubernetes enables scalability, resilience, and microservices-based innovation, healthcare environments introduce strict regulatory requirements, data sensitivity concerns, and complex security challenges. This paper proposes an AI-powered secure automation framework designed specifically for enterprise Kubernetes cloud healthcare platforms. The framework integrates artificial intelligence for intelligent threat detection, compliance validation, anomaly detection, workload optimization, automated incident response, and continuous policy enforcement. By leveraging machine learning models, behavior analytics, zero-trust security principles, and policy-as-code strategies, the proposed architecture enhances both operational efficiency and regulatory compliance (HIPAA, GDPR, HITECH). The research outlines architectural components, security mechanisms, automation workflows, and AI-driven orchestration strategies tailored for healthcare workloads such as Electronic Health Records (EHR), telemedicine platforms, medical imaging pipelines, and IoT medical devices. A comprehensive methodology is presented covering system design, dataset handling, model training, Kubernetes integration, security automation, and validation processes. The framework demonstrates improved threat detection accuracy, reduced incident response time, enhanced workload optimization, and strengthened data governance. The study concludes that AI-powered automation is essential for secure, scalable, and compliant healthcare cloud infrastructures in modern enterprise environments
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