Cloud forensic readiness models focus on preparing cloud infrastructures and organizations to efficiently support forensic investigations when security incidents occur. Research in this area emphasizes the development of proactive frameworks, policies, and tools that ensure evidence can be collected, preserved, and analyzed with minimal delay while maintaining integrity and legal admissibility. Key topics include designing automated evidence collection mechanisms, secure logging and monitoring frameworks, and real-time alerting systems for suspicious activities. Other research directions involve integration of AI and machine learning for predictive forensic readiness, ensuring multi-tenant cloud environments are investigation-ready, and implementing blockchain-based tamper-proof evidence tracking. Emerging areas also explore standardized forensic readiness guidelines, privacy-preserving evidence preparation, and cross-jurisdictional compliance for cloud service providers. Additionally, evaluating the effectiveness of forensic readiness strategies, developing metrics for readiness assessment, and aligning cloud security policies with forensic requirements remain critical challenges for enhancing organizational preparedness in cloud forensic investigations.