Advance Thread Detection using AI &ML in Cyber Security

Abstract

Cybersecurity experts are increasingly combining AI and ML because cyber threats are growing so quickly and better ways to find and stop them are needed. Using AI and ML to find threats better is what this study article is mostly about. To begin, it gives a broad outline of the current state of cyber threats and the problems with current methods of finding. The study looks at different AI and ML methods, such as supervised, unstructured, and deep learning, as possible ways to find and stop hacking threats. A lot of relevant study and papers are looked at to show that these tools work. Firstly, we will look at the differences and similarities between the different AI and ML methods. Afterward, we will talk about the pros and cons of these tools. In the end, the paper shows the findings and stresses how important these technologies are for providing a strong defence against sophisticated cyberattacks. The possible results and progress of AI and ML in the area of cybersecurity are also talked about.