Latest research in Cloud Forensic Tools focuses on developing advanced, AI-driven solutions to address the unique challenges of investigating cloud environments. Studies emphasize enhancing data acquisition, analysis, and preservation while ensuring evidence integrity, privacy, and compliance with legal standards. Research highlights the integration of deep learning models for detecting complex patterns and anomalies, the use of privacy-preserving techniques like zero-knowledge proofs, and the evaluation of tools for effectiveness across technical and organizational dimensions. These advancements collectively aim to improve the accuracy, efficiency, and reliability of forensic investigations in cloud systems, supporting robust cybersecurity and legal compliance.