Conclusion and future directions for machine learning enhanced Identity and Access Management (IAM) systems

5.0 Conclusion
This section presents a summary of the key findings and conclusions obtained during the implementation of the project. The findings and conclusions are based on all the essential activities and tasks that contributed to the successful outcome of the project. It also documents a reflection of some of the lessons learned during the project as well as the achievements and further research work. The project aims to utilize ML capabilities in the Identity and access management process to make it more efficient, and resilient to IAM attacks. The project commenced by analysing the requirements of the system which was gathered at the investigation stage. Afterward, a careful design process was carried out. The implementation of the project followed after the design and all the requirements were converted to a working process. Coding for ML was done using the R programming language. Evaluation and results of the four (4) classifiers were presented. From the activities involved in the design, implementation, evaluation, and results above, It is safe to state that the aim and objectives including the functional and non-functional requirements of the project were met having carried out each process successfully.