Data Privacy in Cloud-Based Pipelines: IAM, DLP, and Governance

Abstract

This article examines the privacy-protection architecture in the enterprise-scale cloud environment, focusing on identification and access management (IAM), data loss prevention (DLP), and governance structure. Drawing from implementation in finance and telecom areas, it presents a framework to ensure regulatory compliance with structures such as GDPR and HIPAA in data pipelines. The integration of cloud-country abilities with privacy regulations provides data engineers with an actionable structure to establish a safe, compliant data ecosystem. The article indicates that effective cloud data extends beyond technical implementation to incorporate privacy organizational processes and governance structures, with successful implementation to create a comprehensive system for secrecy protection in the entire data life cycle and to integrate stage-specific capabilities with a metadata-powered governance framework.