Latest research in Cloud Forensic Readiness Models focuses on developing AI-driven, structured frameworks to ensure organizations are prepared for digital investigations in cloud environments. Studies emphasize proactive measures for evidence availability, integrity, and admissibility while addressing challenges such as multi-jurisdictional issues, distributed architectures, and Zero Trust security requirements. Research highlights cloud-native and edge computing-based frameworks, centralized logging mechanisms, and AI integration to enhance real-time data collection, monitoring, and forensic readiness. These advancements collectively aim to improve organizational preparedness, efficiency, and reliability in cloud forensic investigations, supporting robust cybersecurity and legal compliance.