Cyber Threat Intelligence using AI and Machine Learning Approaches

Abstract

In an era where cyber threats are evolving at an unprecedented pace, the traditional methods of cybersecurity are proving insufficient. As a result, there is a growing reliance on artificial intelligence (AI) and machine learning (ML) techniques to bolster cyber threat intelligence (CTI) capabilities. This paper provides an overview of how AI and ML are transforming CTI and enhancing the ability to detect, prevent, and respond to cyber threats. Firstly, the paper discusses the significance of CTI in the current cybersecurity landscape, emphasizing the need for proactive measures to mitigate emerging threats. It then delves into the fundamental principles of AI and ML and their applicability to CTI. AI enables systems to autonomously learn from data and make decisions, while ML algorithms can detect patterns and anomalies in vast datasets, thus empowering security professionals with actionable insights.