Research on Forensic Techniques in Cloud Computing focuses on developing methods and frameworks to investigate, analyze, and preserve digital evidence in cloud environments. Modern approaches address the challenges of multi-tenancy, distributed storage, and data encryption, employing techniques such as deep learning-based analysis, client-side and provider-managed encrypted storage forensics, and transparent monitoring of virtual machines. Standardized frameworks and methodologies are being developed to ensure data integrity, chain-of-custody preservation, and reproducibility of forensic investigations. Overall, cloud forensic techniques aim to enhance the ability to detect, analyze, and respond to security incidents while maintaining compliance and trustworthiness in dynamic and complex cloud infrastructures.