This study implements the proposed integration of machine learning (ML) techniques into the ISO/IEC 27043:2015 international standard processes using a hypothetical case scenario for a smart building. ISO/IEC 27043:2015 does not currently incorporate ML techniques. Incorporating these techniques into ISO/IEC 27043:2015 can improve the efficiency of the processes and reduce time and human effort by automating some manual tasks of the readiness processes. This research presents a case study for the smart building dataset, applying ML techniques to implement the ML readiness model in the ISO/IEC 27043:2015 standard. It compares the results of implementing ML techniques. These results indicate how the smart environment data can be proactively analysed and classified. These techniques will enable investigators to access the information to investigate such environments.