global-journal-of-computer-science-and-technology-d-neural-ai Global Journal of Computer Science and Technology - D: Neural & AI 0975-4350 0975-4172 Global Journals Publishing Group Incorporated 52844 A Machine Learning-Based Model for Implementing the Cybersecurity for Organizations ‘Assets Automating Security Policy with Machine Learning OmarDr. Mohammad Mahmoud Abu AwawdehMohammad SaneaRamze PALESTINE 26 05 2022 22 D2 33 35

In the current era, cybersecurity problems are one of the critical problems that threaten the organizations’ assets, since they may cause a big financial and moral loss. and in the parallel the with the advent of the Machine Learning and Artificial Intelligence techniques, It is important and wise to use these technologies to help in achieving cybersecurity for organizations’ assets, due to accurate work of these systems and saving time, effort, and cost. So, this research develops a model that uses machine learning technology to detect the vulnerability in the information security of the organizations’ assets to avoid as possible the lack of the information security in organizations’ assets and thus avoid the financial and moral loss that such organizations may face.

 information security policy ISP machine learning dataset vulnerable CART. Full Text

Abstract—In the current era, cybersecurity problems are one of the critical problems that threaten the organizations’ assets, since they may cause a big financial and moral loss. and in the parallel the with the advent of the Machine Learning and Artificial Intelligence techniques, It is important and wise to use these technologies to help in achieving cybersecurity for organizations ’ assets, due to accurate work of these systems and saving time, effort, and cost. So, this research develops a model that uses machine learning technology to detect the vulnerability in the information security of the organizations ’assets to avoid as possible the lack of the information security in organizations ’assets and thus avoid the financial and moral loss that such organizations may face.