Latest research in Privacy-Preserving Cloud Forensics Models focuses on developing AI-driven and cryptography-based frameworks to ensure the confidentiality, integrity, and legal compliance of digital investigations in cloud environments. Studies emphasize integrating Zero-Knowledge Proofs, blockchain technology, and robust access control mechanisms to protect sensitive data while enabling accurate forensic analysis. Research also explores privacy-preserving approaches for multi-cloud and cloud-IoT environments, addressing challenges such as distributed architectures, data immutability, and regulatory compliance. These advancements collectively aim to enhance the security, reliability, and efficiency of cloud forensic investigations without compromising user privacy.