Audit-Ready Cloud Migration Framework for Regulated Industries
DOI:
https://doi.org/10.63345/Keywords:
Audit-readiness, Cloud migration, Regulated industries, Compliance-by-design, Cloud governance, Data residency, Continuous auditing, Evidence automation, Regulatory compliance.Abstract
As enterprises across regulated sectors—such as healthcare, finance, pharmaceuticals—accelerate insurance, their and journey toward digital transformation, cloud migration becomes both a technological enabler and a regulatory challenge. Traditional migration frameworks emphasize scalability, cost savings, and operational agility but often neglect the stringent audit, compliance, and data governance requirements that define these industries. The absence of an audit-centric migration strategy can result in fragmented traceability, compliance drift, and extended audit remediation cycles. compliance-driven model designed to ensure continuous auditability, traceable data movement, and regulatory alignment throughout the migration lifecycle. ARCMF integrates principles of compliance-bydesign, automated evidence collection, and realtime compliance monitoring into every stage, from pre-migration assessment to post-migration operation. By embedding tools like AWS Audit Manager, Azure Policy, and GCP Security Command Center, the framework transforms compliance from a reactive task into a proactive governance layer. Using This research introduces the Audit-Ready Cloud Migration Framework (ARCMF)—a mixed-methods analysis and case evaluations from 25 regulated organizations between 2021 and 2024, the study demonstratesmeasurable improvements: audit cycle time reduced by 41%, compliance deviations decreased by 36%, and evidence collection effort halved. The framework’s layered architecture— covering governance, risk, migration monitoring, evidence storage, and continuous assurance— enables auditors and compliance officers to maintain real-time visibility into control performance and system integrity. This manuscript not only validates ARCMF as an enabler of compliant cloud transformation but also highlights its strategic role in building digital trust ecosystems across industries. The research concludes that future audit-ready systems should integrate AI-driven compliance analytics, blockchain-based immutability, and policy-ascode paradigms to achieve self-verifiable compliance and adaptive regulatory intelligence—essential for sustainable digital transformation in an era of evolving data sovereignty laws.
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