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AI for Enhancing ICS/OT Cybersecurity

  • Iqbal H. Sarker

摘要

In today’s industrial environments, advanced technologies have become increasingly integrated, increasing vulnerabilities and risks related to cyber threats. This chapter explores the transformative role of artificial intelligence (AI) in enhancing the security of industrial control systems (ICS) and operational technology (OT) environments. Increasing connectivity and complexity of industrial networks often make traditional cybersecurity measures ineffective against sophisticated threats. In this chapter, we discuss how AI technologies, including machine learning and behavioral analysis, can be used for detecting anomalies, predicting threats, and responding to incidents in real time. This chapter thus emphasizes AI’s potentiality to enhance the resilience of ICS/OT ecosystems by leveraging AI-driven anomaly detection and adaptive security measures. In addition, it discusses the practical implications, challenges, and lessons learned in implementing AI solutions to safeguard critical infrastructure from evolving cyber risks.