Evaluation of Hybrid Cloud Computing Techniques to Enhance Data Security in Digital Enterprises

A large number of organizations have been increasingly adopting hybrid cloud computing models due to the significant acceleration of digital business transformations. These hybrid clouds offer organizations scalability and flexibility from public cloud platforms combined with control and compliance from their on-premises infrastructure. Hybrid cloud models also present organizations with several advantages such as greater operational agility; lower costs; and greater workload scalability. However, hybrid clouds create a variety of new and complex cybersecurity issues related to identity management; cross-cloud visibility; data governance; regulatory compliance; and distributed attack surfaces. The objective of this research is to analyze and compare several of the most recent data security methods used by hybrid cloud systems for digital businesses. In order to achieve the objective, the research will employ a multi-faceted approach consisting of literature synthesis; technical framework analysis; a metric based assessment model; and a simulated threat modeling process. Advanced security methods such as Zero Trust Architecture (ZTA); Cloud Security Posture Management (CSPM); Cloud Workload Protection Platforms (CWPP); Homomorphic Encryption; Secure Multi-Party Computation (SMPC); Trusted Execution Environments (TEEs) and AI-driven Security Operations (SecOps) were selected for examination. The proposed evaluation method examines each identified technique using a set of multiple operational and security metrics such as confidentiality; integrity; availability; scalability; compliance alignment; performance overhead and incident response efficiency. Evaluation results indicate that organizations can increase their hybrid cloud ecosystem's security resilience through the use of integrated security frameworks incorporating elements of ZTA; automated CSPM/CWPP components and hardware-enforced trust technologies. The proposed framework can assist decision makers at organizations in determining how best to implement their hybrid cloud security solutions in accordance with current cybersecurity regulations and standards.

Hybrid Cloud Security, Zero Trust Architecture, Cloud Security Evaluation, Data Protection, AI-Driven Threat Detection.

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