Advanced Enterprise Computing Architecture for AI Driven Cloud Migration Secure Data Governance and Intelligent Cyber Resilience
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Abstract
The rapid evolution of cloud computing, accelerated by artificial intelligence (AI), has redefined organizational infrastructures, prompting a shift toward Advanced Enterprise Computing Architecture. This research explores the integration of AI-driven cloud migration, secure data governance, and intelligent cyber resilience frameworks to address the vulnerabilities inherent in modern digital transformations. As enterprises migrate legacy systems to hybrid and multi-cloud environments, automated orchestration tools optimize workload distribution, reduce operational overhead, and enhance scalability. Concurrently, data governance must adapt to ensure continuous compliance, utilizing automated data classification, zero-trust architectures, and cryptographic protocols to protect sensitive assets across distributed networks. Furthermore, the escalation of sophisticated cyber threats necessitates a transition from reactive security measures to intelligent cyber resilience. By embedding machine learning algorithms directly into the security architecture, organizations can achieve autonomous threat detection, real-time anomaly analysis, and self-healing system recovery. This paper synthesizes these three pillars—migration, governance, and resilience—into a cohesive, unified architectural paradigm. Ultimately, this comprehensive framework provides global enterprises with a strategic blueprint to maximize operational efficiency, maintain regulatory compliance, and guarantee business continuity amidst an increasingly hostile and dynamic digital threat landscape
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