Hybrid Cloud Security: Balancing Performance, Cost, and Compliance in Multi-Cloud Deployments

2025-05-31

AI Summary

This study addresses the joint optimization of performance, cost, and regulatory compliance in hybrid cloud deployments—challenged by resource allocation imbalance, heterogeneous multi-cloud pricing models, and inadequate protection of sensitive data. We propose the first unified security–cost co-optimization framework integrating zero-trust architecture, dynamic encryption policies, and a cross-cloud policy engine. Leveraging Policy-as-Code (PaC), the framework enables coordinated decision-making for security enforcement and resource scheduling. It is operationalized via native integration with AWS and Azure APIs and supports hybrid cloud orchestration. Evaluated in a real-world AWS+Azure environment, our approach achieves a 40% improvement in security incident response latency, reduces cross-cloud resource misallocation by 52%, and attains 100% compliance audit pass rate.

Technology Category

Search and Optimization: Mixed Discrete/Continuous SearchApplication Domains: SecurityConstraint Satisfaction and Optimization: Mixed Discrete/Continuous Optimization

Application Category

Security and Privacy: Data transparency and provenanceResponsible Web: Human-perceived consequences of algorithmic deployment on the webEconomics, Online Markets and Human Computation: Economic aspects and information design of Web, GenAI, and cloud computing

Abstract

The pervasive use of hybrid cloud computing models has changed enterprise as well as Information Technology services infrastructure by giving businesses simple and cost-effective options of combining on-premise IT equipment with public cloud services. hybrid cloud solutions deploy multifaceted models of security, performance optimization, and cost efficiency, conventionally fragmented in the cloud computing milieu. This paper examines how organizations manage these parameters in hybrid cloud ecosystems while providing solutions to the challenges they face in operationalizing hybrid cloud adoptions. The study captures the challenges of achieving a balance in resource distribution between on-premise and cloud resources (herein referred to as the"resource allocation challenge"), the complexity of pricing models from cloud providers like AWS, Microsoft Azure, Google Cloud (herein called the 'pricing complexity problem'), and the urgency for strong security infrastructure to safeguard sensitive information (known as 'the information security problem'). This study demonstrates the security and performance management solutions proposed were validated in a detailed case study of adoption of AWS and Azure based hybrid cloud and provides useful guidance. Also, a hybrid cloud security and cost optimization framework based on zero trust architecture, encryption, hybrid cloud policies, and others, is proposed. The conclusion includes recommendations for research on automation of hybrid cloud service management, integration of multi-clouds, and the ever-present question of data privacy, stressing how those matters affect contemporary enterprises.

Problem

• Balancing performance, cost, and compliance in hybrid clouds
• Addressing resource allocation challenges in multi-cloud deployments
• Solving pricing complexity and security in hybrid cloud adoption

Innovation

• Zero trust architecture enhances hybrid cloud security
• Encryption ensures sensitive data protection
• Hybrid cloud policies optimize cost and performance