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Designing Secure Sovereign Cloud Architectures for Enterprise Data Analytics and Digital Transformation

Ajinkya Potdar

Independent Researcher, USA

Abstract

The quick embrace of cloud computing has expedited digitization of enterprises, which has facilitated scaling of data analytics, informative automation, and decision-making based on data. However, issues related to data sovereignty, regulatory laws, and cybersecurity as well as cross-border data management are topical challenges impacting most organizations within highly regulated industries. The present paper describes the concept framework of a comprehensive conceptual framework known as the Secure Sovereign Cloud Architecture Framework (SSCAF) that has been designed to enhance the secure, compliant, and resilient state of the enterprise data analytics in a minimal cost to the data sovereignty and ownership of the countries and organizations. The architecture comprises of sovereign cloud infrastructure, zero-trust security, confidential computing and AI-based threat intelligence, identity, and access management, encryption-based data protection, policy-driven governance, and continued compliance monitoring in a shared architecture. It has also safe data pipeline, multi-cloud interoperability and hybrid and multi-cloud interoperability as well as explainable analytics to facilitate trusted digital transformation in healthcare, finance, manufacturing and the government. The given framework enables organizations to make the trade-off between the needs of localizing the data and the flexibility of the operations, offer safe teamwork, adhere to rules, and analytics of their performance. SSCAF can enhance the resilience of enterprises, decrease the security risks and facilitate sustainable digital innovations with smart governance and cloud-native technologies. The suggested architecture offers a scalable base of future sovereign cloud ecosystems that can support AI-enabled enterprise applications but ensure transparency and privacy, comply, and business continuity in more and more complex digital spaces.

Article Information

Journal

International Journal of Science, Research and Technology

Volume (Issue)

Vol. 6 No. 5 (2023): International Journal of Science, Research and Technology (IJSRAT)

DOI

https://doi.org/10.15662/IJSRAT.2023.0605024

Pages

10698-10707

Published

October 11, 2023
Copyright

Open Access

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Ajinkya Potdar (%2023). Designing Secure Sovereign Cloud Architectures for Enterprise Data Analytics and Digital Transformation. International Journal of Science, Research and Technology , Vol. 6 No. 5 (2023): International Journal of Science, Research and Technology (IJSRAT) , pp. 10698-10707. https://doi.org/10.15662/IJSRAT.2023.0605024

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