Latest research in Cloud Forensics Investigation Frameworks focuses on developing structured, AI-driven methodologies and tools to address the unique challenges of investigating cloud environments. Studies emphasize frameworks that automate evidence identification, collection, preservation, analysis, and documentation while ensuring data integrity and handling complexities such as multi-tenancy and distributed resources. Research highlights ontology-driven and modular approaches, integration of Large Language Models for intelligent log analysis, and evaluation using real-world cloud incidents, including ransomware attacks. These advancements collectively aim to enhance the efficiency, accuracy, and reliability of cloud forensic investigations, providing robust solutions for diverse cyber threats and complex cloud infrastructures.