Implementing Dynamic Confidential Computing for Continuous Cloud Security Posture Monitoring to Develop a Zero Trust-Based Threat Mitigation Model

The growing complexity of cloud infrastructures and the increasing sophistication of cyber threats necessitate a

paradigm shift in cloud security architecture. This review explores the integration of dynamic confidential computing with

continuous cloud security posture monitoring (CCSPM) to develop a Zero Trust-based threat mitigation model. Confidential

computing, through trusted execution environments (TEEs), ensures data protection during processing, addressing critical

gaps in data-in-use security. When combined with CCSPM tools, which provide real-time visibility and risk assessment,

organizations can achieve adaptive and proactive defense mechanisms. This paper examines the fundamental principles of

confidential computing, the operational mechanisms of CCSPM, and the implementation of Zero Trust frameworks across

distributed cloud environments. It further proposes a dynamic model that fuses telemetry from posture monitoring with

policy-based access control to enforce continuous verification and threat response. The synergistic approach promises

enhanced data integrity, reduced attack surfaces, and scalable threat resilience. Finally, the paper outlines current

limitations, standardization challenges, and research opportunities for advancing secure and trustworthy cloud ecosystems.