Cloud data centers serve as the backbone of modern digital infrastructure, supporting a vast array of applications from enterprise computing to artificial intelligence-driven services. However, ensuring fault tolerance while maintaining energy efficiency remains a significant challenge due to the high computational demand and power consumption of conventional cloud architectures. Reversible computing has emerged as a promising paradigm, offering ultra-low-power execution while minimizing heat dissipation, making it particularly attractive for next-generation cloud data centers. This paper explores the integration of fault-tolerant reversible computing architectures to improve cloud infrastructure security, reliability, and energy efficiency. Key strategies include leveraging reversible logic circuits for low-power data processing, designing fault-tolerant self-healing models for cloud resilience, and incorporating quantum and AI-driven techniques to enhance security and predictive fault management. In addition, the study investigates the role of reversible encryption schemes in mitigating security vulnerabilities while maintaining computational efficiency. A comprehensive analysis highlights the advantages, challenges, and future research directions of adopting reversible computing for secure and energy-efficient cloud data centers.