Latest research in Evidence Acquisition for Cloud Forensics focuses on developing advanced methodologies, frameworks, and tools to effectively collect, preserve, and analyze digital evidence in cloud environments. Studies emphasize overcoming challenges such as data ownership, multi-tenancy, distributed architectures, and limited direct control over cloud infrastructure while ensuring evidence integrity and legal admissibility. Research highlights API-based acquisition techniques, integrated frameworks like the Cloud Evidence Tracing System, and forensic readiness strategies to streamline evidence collection and preservation. These advancements collectively aim to enhance the accuracy, efficiency, and reliability of cloud forensic investigations, supporting robust cybersecurity and legal compliance.