Latest research in Cloud Storage Forensics focuses on developing advanced methodologies, frameworks, and AI-driven tools to effectively investigate data stored in cloud environments. Studies emphasize addressing challenges such as distributed architectures, client-side and provider-managed encryption, and data volatility while ensuring evidence integrity and reliability. Research highlights ontology-driven and automated frameworks like CIAF that utilize Large Language Models for intelligent log analysis, as well as strategies for handling encrypted cloud data and standardizing forensic procedures. These advancements collectively aim to improve the accuracy, efficiency, and consistency of forensic investigations in cloud storage systems, supporting legal compliance and cybersecurity efforts.