Designing Trust-Aware Multi-Cloud Federations for Privacy-First Financial Workloads

Rajender Chilukala

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Preprint / Version 1

Designing Trust-Aware Multi-Cloud Federations for Privacy-First Financial Workloads

Authors

Rajender Chilukala Software Engineer, Assistant Vice President, USA.

Keywords:

Multi-cloud, trust-aware federation, privacy, financial workloads, cloud security, data gov-ernance

Abstract

The growing complexity of financial workloads necessitates robust, scalable, and privacy-preserving cloud architectures. Trust-aware multi-cloud federations offer a strategic solution to mitigate risk by distributing operations across trusted providers while maintaining data integrity. This paper investigates the architecture and mechanisms needed for federated cloud trust models specifically suited for financial workloads, highlighting challenges and proposing privacy-first solutions. Key metrics such as latency, trust alignment, and data leakage probability are evaluated under simulated conditions.

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Posted

2025-01-28

License

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