Blockchain Based Compliance Auditing For GRC Integration in Hybrid Cloud IT Governance Frameworks

Authors

  • Ugoaghalam Uche James Department of Computer Information Systems, Collage of Engineering, Prairie View A&M University, Praire View, 77446, Texas, USA Author

DOI:

https://doi.org/10.32628/CSEIT24113368

Keywords:

Cross-Border Compliance, Regulatory Automation, International Standards, Collaborative Governance, Smart Contracts, Digital Policy Integration

Abstract

The integration of blockchain technology into compliance auditing presents a transformative opportunity for enhancing Governance, Risk, and Compliance (GRC) mechanisms within hybrid cloud IT governance frameworks. This review explores the potential of blockchain to address long-standing challenges in auditability, transparency, and trust across distributed and heterogeneous computing environments. By leveraging blockchain’s immutable ledger, smart contract automation, and decentralized consensus protocols, organizations can ensure real-time verification of compliance activities, secure audit trails, and enforceable policy adherence across cloud infrastructures. The paper critically evaluates existing literature on blockchain-enabled compliance auditing, identifies gaps in current GRC integration practices within hybrid cloud ecosystems, and discusses emerging frameworks that align regulatory compliance with dynamic IT operations. Key challenges such as interoperability, scalability, and regulatory acceptance are analyzed alongside opportunities for enhanced accountability, cross-border compliance, and audit automation. The review concludes by outlining future research directions, emphasizing the need for standardized blockchain-GRC interfaces, regulatory sandboxing, and industry-specific implementation models to fully realize the benefits of blockchain in hybrid cloud IT governance.

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30-10-2024

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Research Articles

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[1]
Ugoaghalam Uche James, “Blockchain Based Compliance Auditing For GRC Integration in Hybrid Cloud IT Governance Frameworks”, Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol, vol. 10, no. 5, pp. 1100–1124, Oct. 2024, doi: 10.32628/CSEIT24113368.