Data Governance and Content Lifecycle Automation in the Cloud for Secure, Compliance-Oriented Data Operations
DOI:
https://doi.org/10.63282/3050-9416.IJAIBDCMS-V4I3P113Keywords:
Data Governance, Cloud Computing, Content Lifecycle Management, Compliance Automation, Data Security, Metadata Management, Regulatory ComplianceAbstract
The rapid proliferation of cloud-based data ecosystems has escalated the necessity of a solid data governance system and content lifecycle automated management controls to guarantee data security and regulatory compliance and operational efficiency. Digitalization, big data analytics and distributed application architectures are compelling organizations in industries to increasingly depend on cloud infrastructures to handle structured and unstructured data. Nonetheless, the adoption of the cloud demands multiple issues, such as that of data ownership, access permissions, compliance with regulations, data privacy, and life cycle tracking. Conventional form of governance which was initially tailored towards an on-premise setup may not suffice to handle the dynamic, distributed and multi-tenant character of current cloud platforms. This paper will be a detailed account of information management of data and content lifecycle in cloud computing with a focus to secure and compliance-driven data processing. The framework that is proposed combines the policy-driven governance, metadata management, automated classification, lifecycle orchestration and compliance auditing into one cloud-native platform. The data policies applied to data stored in any storage and their effect on subsequent choices about the data can be controlled uniformly through the framework through the application of automation technologies, including rule engines and workflow orchestration, encryption, and access control algorithms, which address aspects of the data policies at creation and ingestion, as well as at archival and secure deletion. The paper examines available literature, defines governance shortcomings in the existing cloud solutions, and presents a methodology that meets the requirements of various regulations of the world like GDPR, HIPAA, and ISO/IEC 27001. Through experimental assessment and a comparative study, it has been established that automated lifecycle governance can greatly minimise compliance risks, increase audit readiness, and increase data safety without burdening it with too much operational overhead. The results accentuate the necessity of embedding the governance automation as the base part of the strategies in protecting the cloud data
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