Multi-Cloud and Hybrid Cloud Security Frameworks

The rapid adoption of multi-cloud and hybrid-cloud architectures introduces significant security and governance complexities for organizations seeking agility and resilience. These deployments combine on-premises, private-cloud and multiple public-cloud services, creating a dispersed environment that challenges traditional perimeter-based security models. Research indicates that in multi-cloud environments, fragmentation of control, inconsistent policy enforcement, and visibility gaps increase vulnerability to misconfiguration, unauthorized access, and data breaches [9, 10]. Further, hybrid-cloud settings amplify these issues as enterprises must manage both legacy systems and diverse cloud platforms under unified governance. To address these evolving threats, this study evaluates existing security frameworks such as the Cloud Security Alliance’s Cloud Controls Matrix and the National Institute of Standards and Technology Cybersecurity Framework in the context of multi-provider, hybrid environments, assesses their strengths and gaps, and proposes an integrated AI-driven security framework tailored to hybrid/multi-cloud systems. The proposed model emphasizes unified identity and access management, encryption and key lifecycle across providers, continuous monitoring via machine-learning anomaly detection, and dynamic policy orchestration. Key implications suggest that enterprises adopting multi-cloud/hybrid strategies should prioritize interoperability and automation to sustain strong security postures while maintaining business agility. Directions for future research include empirical validation of the model via case studies and exploring the impact of emerging threat vectors (e.g., AI‐enabled attacks) on cloud-native frameworks.