Cyber Threat Intelligence for Industrial Automation
Abuh Ibrahim Sani · Advances in computational intelligence and robotics book series · 2025
The increased reliance of industrial automation on interconnected systems has made it vulnerable to cyber threats. Conventional security techniques frequently inadequately handle the dynamic and developing threat landscape. This chapter examines the essential function of Cyber Threat Intelligence (CTI) in improving the security framework of IACS environments. It specifically emphasizes utilizing artificial intelligence (AI) to automate and enhance cyber threat intelligence (CTI) processes, facilitating proactive threat detection, analysis, and response. This chapter will explore the problems associated with safeguarding IACS, the advantages of establishing a comprehensive CTI program, and the utilization of AI methodologies, including machine learning, deep learning, and natural language processing, for the gathering, analysis, and dissemination of threat data. Practical examples and case studies will demonstrate the implementation of AI-driven CTI techniques in reducing cyber risks and enhancing the resilience of essential industrial infrastructure.