The rapid migration of sensitive data infrastructures to cloud-assisted environments has necessitated a paradigm shift in how security, privacy, and compliance are managed. This research provides a comprehensive investigation into the convergence of blockchain technology, cryptographic protocols, and automated auditing mechanisms within the healthcare and financial sectors. By synthesizing diverse technological frameworks, the study evaluates the design of secure protocols for Electronic Health Record (EHR) systems and the efficacy of hierarchical group key agreements in maintaining data integrity. A significant portion of the analysis is dedicated to the role of blockchain as a decentralized ledger for securing body area networks and financial transactions, alongside the emerging requirement for automated compliance-exemplified by HIPAA-as-Code in machine learning pipelines. The research identifies a critical literature gap regarding the scalability of privacy-preserving data sharing in large-scale agile implementations. Through an extensive theoretical elaboration of state-of-the-art cloud security challenges and their mitigation strategies, this article establishes a roadmap for the next generation of trustworthy digital ecosystems. The findings suggest that while blockchain offers unprecedented transparency, its integration must be balanced with hybrid privacy solutions to meet the stringent demands of modern data privacy regulations.

Blockchain Technology, Cloud Computing Security, Electronic Health Records, Data Privacy

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