AI-Driven Cyber-Resilient Cloud-Native Enterprise Architecture for Secure Financial Healthcare Industrial and Government Digital Ecosystems
DOI:
https://doi.org/10.15680/fa7bcw84Keywords:
AI-driven security, Cyber resilience, Cloud-native architecture, Zero Trust Architecture (ZTA), DevSecOps, Microservices security, Digital ecosystems, Financial cybersecurity, Healthcare IT security, Industrial IoT security, Government digital transformation, Predictive threat analytics, Autonomous security orchestration, Secure multi-cloudAbstract
The rapid digital transformation of financial, healthcare, industrial, and government sectors has significantly expanded the attack surface of enterprise systems, introducing sophisticated cyber threats such as ransomware, advanced persistent threats (APTs), insider attacks, and supply chain compromises. Traditional perimeter-based security architectures are inadequate in addressing dynamic, cloud-native, and distributed environments. This paper proposes an AI-driven cyber-resilient cloud-native enterprise architecture designed to ensure adaptive security, operational continuity, regulatory compliance, and real-time threat intelligence integration across critical digital ecosystems. The proposed architecture integrates zero-trust principles, microservices-based modularity, containerized workloads, DevSecOps automation, and AI-powered behavioral analytics. Machine learning models are embedded across infrastructure, platform, and application layers to enable predictive threat detection, automated response orchestration, anomaly detection, and intelligent recovery mechanisms. The framework emphasizes resilience through self-healing systems, immutable infrastructure, distributed ledger-based audit trails, and multi-cloud redundancy strategies. A layered security governance model aligned with global compliance standards ensures sector-specific adaptability. The study contributes a unified architecture blueprint capable of protecting heterogeneous enterprise environments while enabling scalable innovation. The model supports proactive cyber defense, real-time risk assessment, and sustainable digital trust in mission-critical national and global digital infrastructures.
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