Next-Generation AI Cloud Governance for Health Enterprises: Environmental Pollutant Intelligence, Cancer Detection, and Secure DevOps Integration under Zero-Trust Architecture

Lucía María Fernández Pérez

doi:10.15662/IJRAI.2025.0806807

Authors

Lucía María Fernández Pérez Systems Engineer, Spain Author

DOI:

https://doi.org/10.15662/IJRAI.2025.0806807

Keywords:

AI cloud governance, healthcare enterprises, environmental pollutant intelligence, cancer detection, zero-trust security, DevOps integration, machine learning, LLM-driven analytics, risk management, LDDR optimization, multi-cloud architecture, ethical AI

Abstract

The growing complexity of healthcare data ecosystems demands a transformative approach that unifies environmental intelligence, clinical analytics, and secure cloud operations. This study presents a next-generation AI cloud governance framework for health enterprises, integrating environmental pollutant intelligence and AI-assisted cancer detection within a zero-trust DevOps architecture. The proposed system employs machine learning and large language model (LLM)–driven analytics to correlate environmental pollutant exposure data with cancer risk indicators, supporting early diagnostic precision and data-driven public health insights. A multi-cloud governance layer ensures policy-based orchestration, continuous compliance monitoring, and automated risk management across diverse healthcare infrastructures. By embedding zero-trust security principles and autonomous DevOps pipelines, the framework enables secure deployment, continuous validation, and resilient data operations with minimal human intervention. The architecture also incorporates Low Data Duplication and Redundancy (LDDR) optimization to reduce storage costs while maintaining data integrity and accessibility. Experimental evaluation demonstrates notable improvements in model accuracy, resource utilization, and compliance assurance. The research contributes to the foundation of AI-driven, risk-aware, and ethically governed cloud ecosystems capable of supporting next-generation healthcare innovation and environmental resilience.

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