Cybersecurity Architecture for Cloud Database Infrastructure- A Case Study of Oracle Autonomous Database on Microsoft Azure

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Authors: Chaitanya Kulkarni, Chandrashekhar Medicherla, Bharadwaj Vulugundam, Rajesh Purushothaman, Isan Sahoo, Arun Kumar Elengovan
Cited by: 7
References: 20

Abstract

Enterprise cloud adoption continues to accelerate, yet securing database infrastructure across public cloud platforms remains a persistent challenge for organizations handling sensitive data. This paper presents a comprehensive security framework for Oracle Autonomous Database deployed on Microsoft Azure, addressing the complete lifecycle of cloud database security from network isolation through compliance automation. Our five-layer architecture integrates Oracle's database security capabilities with Azure's native security services, creating a defense-in-depth approach validated through production deployments. The framework encompasses network security using private endpoints and Virtual Network isolation, federated identity management via Azure Entra ID, customer-managed encryption with Azure Key Vault integration, database-level controls through Oracle Database Vault and Data Safe, and unified compliance monitoring across 25+ regulatory frameworks. Production implementations demonstrate 99.99% uptime while maintaining automated security patching, sub-5-minute threat detection response, and zero-downtime key rotation. We provide detailed implementation patterns for Azure Key Vault transparent data encryption, OAuth2 authentication flows, and DevSecOps automation templates. While focused on Azure deployment, the architectural principles establish foundational patterns applicable to broader multicloud database strategies. This work contributes practical security guidance for enterprise architects deploying mission-critical database workloads in public cloud environments.

Fields of Study & Subjects

Cloud Data Security Solutions Cloud Computing and Resource Management Mobile Agent-Based Network Management

Publication details

Journal / source
2026 IEEE 5th International Conference on AI in Cybersecurity (ICAIC)
Publisher
IEEE
Pages
1–6
Publication date
18 February 2026