Cloud Native AI and Security Engineering for Multi Domain Enterprise Systems with Compliance Automation and Predictive Analytics
DOI:
https://doi.org/10.15680/IJCTECE.2024.0704008Keywords:
Cloud-native architecture, Artificial Intelligence, Security Engineering, Multi-domain enterprise systems, DevSecOps, Compliance automation, Predictive analytics, Zero-trust security, Kubernetes, Microservices, Continuous compliance, AI-driven governanceAbstract
Cloud-native technologies are reshaping enterprise systems by enabling scalability, resilience, and rapid innovation across multiple operational domains. However, the integration of artificial intelligence (AI) into multi-domain enterprise environments introduces complex security, governance, and compliance challenges. This paper explores the convergence of cloud-native architectures, AI-driven security engineering, compliance automation, and predictive analytics within large-scale enterprise ecosystems. It proposes a comprehensive framework that integrates DevSecOps practices, zero-trust architectures, AI-based threat detection, and automated regulatory compliance mechanisms across distributed systems
The study examines how containerization, microservices, Kubernetes orchestration, and service meshes provide foundational infrastructure for scalable AI deployment while maintaining security posture. Furthermore, it highlights the importance of predictive analytics in proactive risk management, anomaly detection, and automated incident response. By embedding compliance-as-code within CI/CD pipelines and leveraging AI-driven policy validation, enterprises can achieve continuous compliance in highly regulated industries
The research contributes a methodological approach to designing secure, adaptive, and regulation-aware cloud-native AI systems that operate seamlessly across finance, healthcare, manufacturing, and government sectors. The findings demonstrate that integrating predictive intelligence with automated governance mechanisms enhances operational efficiency, reduces cyber risk, and ensures sustainable digital transformation
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