Designing a Cloud and AI Enterprise Framework for Secure Ethical Automation in Modern Healthcare
DOI:
https://doi.org/10.15662/IJEETR.2023.0505010Keywords:
Cloud-native architecture, AI-enabled automation, Ethical AI, Real-time data synchronization, Secure networks, Compliance alignment, Microservices, Zero trust security, Event-driven architecture, Governance frameworksAbstract
Cloud-native architectures combined with artificial intelligence (AI) have become essential for modern enterprises seeking scalable, resilient, and adaptive IT ecosystems. This paper proposes a comprehensive enterprise model that integrates cloud-native principles with AI-enabled automation, emphasizing ethical frameworks, real-time data synchronization, secure network design, and regulatory compliance alignment. The model leverages microservices, container orchestration, and serverless computing to create flexible and modular systems that can adapt to dynamic business needs. AI-driven automation is used for intelligent process optimization, anomaly detection, and decision support, while ethical guidelines ensure responsible AI adoption through transparency, accountability, and fairness. Real-time data synchronization is achieved using event-driven architectures, streaming platforms, and distributed data management to ensure consistency and responsiveness across hybrid environments. Secure networks are designed using zero-trust principles, encryption, and continuous monitoring to protect data integrity and privacy. Compliance alignment is ensured through automated policy enforcement, audit trails, and governance frameworks that align with industry standards such as GDPR, HIPAA, and ISO 27001. The proposed model demonstrates improved operational efficiency, risk reduction, and strategic agility, offering a blueprint for enterprises to modernize IT infrastructures responsibly and securely.
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