A Survey Based on Behavior Analysis of Artificial Intelligence Using Machine Learning Process

Cybersecurity is a very crucial field that comprises various technologies, processes as well as practices and all are particularly aimed at safeguarding digital assets from various threats. As the number of inter-connected devices has been increased nowadays, cybersecurity has become more complex. It is very essential to note that as more businesses and services move online, there are more opportunities for cyberattacks and this also led to serious consequences such as financial loss and disruptions to services. The two key points about the changing landscape of cybersecurity threats have been highlighted in the study: Nation-State-Affiliated Adversaries are attackers that are supported or directly controlled by a government. Criminal Adversaries are attackers motivated by financial gain. Although the infrastructure for technology is associated with artificial intelligence in cybersecurity, and it is additionally known that these systems support a broad range of applications that helps to improve cyber defences more broadly. In recent times, advanced technologies like artificial intelligence, machine learning, and automation have been utilized and these technologies make cybersecurity more complex. AI and ML have been utilized to a certain extent in order to make cybersecurity systems better at detecting and responding to threats as well. Furthermore, the proposed method in the study has been especially aimed to manage security incidents quickly by using AI and ML and in a very effective manner. The development of AI systems capable of detecting both simple and complex cyber threats with a high level of accuracy and speed have been explored thoroughly in the survey. Cybersecurity can be improved by using two key concepts: User Behaviour Analytics (UBA) and ICS Security Ontology.