With cloud computing and data storage and processing moving forward at such rapid rate, cybersecurity and digital forensics do not seem to be immune to such malicious intent. This research focuses on evaluating new technologies in the AI, block-chain, IoT and similar technologies domain to influence the customization and analysis of cloud forensics and security.In the first place, we conduct an SLR to recognize the primary special difficulties for cloud forensics through looking into data volatility, multitenancy, conflicting regions and absence of a typical system or accord.\n Furthermore, it was uncovered that AI, blockchain and automation of evidence processing and information verification can be employed in forensics. Case materials in cloud forensics are studied by researching their use in practice across finance, healthcare and e commerce.” In the beginning, we discuss ML and blockchain in forensics in the cloud as well as the abilities of both.\n Programmers compare tools used to execute using accuracy, efficiency and scalability. This research shows the main perspective of the proposed cloud forensics theory, along with corresponding practical, innovation and standard techniques dealing with the most concerning problems associated with utilization of cloud services. Thus, ideas such as information unwinding and transparency are needed when applying AI and blockchain in ICT forensic investigations. Due to this study, there are now useful concepts and principles to work with cloud security and forensics and forthcoming ways to handle open problems within the field. Thanks to the results, people designing safe and reliable clouds such as those used for cybersecurity, forensic investigations and policy can proceed.