Cloud forensics is a rapidly evolving field that addresses the challenges of investigating digital evidence within cloud computing environments, where data is distributed, virtualized, and often multi-tenant. Research in this domain focuses on developing frameworks, methodologies, and tools to ensure secure, reliable, and legally admissible forensic investigations. Key topics include evidence acquisition from cloud storage, virtual machines, and mobile-cloud applications; forensic readiness and proactive monitoring; and analysis of logs and system metadata for event reconstruction. Other significant areas involve machine learning–assisted anomaly detection, privacy-preserving forensic techniques, blockchain-based integrity and provenance verification, and AI-driven automated investigation frameworks. Emerging directions explore cross-cloud and hybrid cloud forensic models, multi-jurisdictional legal compliance, virtualization and container forensics, and scalable big data analysis for large-scale cloud environments. Advancing these areas aims to enhance the efficiency, accuracy, and credibility of forensic investigations in complex cloud ecosystems.