Latest research in Virtual Machine Introspection (VMI) for cloud forensics focuses on developing secure, AI- and machine learning-assisted frameworks to enhance the detection, analysis, and preservation of digital evidence in virtualized environments. Studies emphasize overcoming challenges such as the semantic gap in memory analysis, real-time monitoring of virtual machines and containers, and ensuring secure introspection of confidential VMs without compromising their protection. Research highlights approaches that integrate metadata, engineered features, and hypervisor-level analysis to detect and characterize malware, monitor container files, and automate forensic processes. These advancements collectively aim to improve the accuracy, efficiency, and reliability of forensic investigations in cloud and virtualized infrastructures.