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AI Based IAM For Industrial Automation: Securing IIoT, ICS, and OT Systems

AI Based IAM For Industrial Automation: Securing IIoT, ICS, and OT Systems
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Author(s): Vatsal Gupta (Apple, USA)
Copyright: 2025
Pages: 24
Source title: AI-Enhanced Cybersecurity for Industrial Automation
Source Author(s)/Editor(s): Hari Mohan Pandey (Bournemouth University, UK)and Pawan Kumar Goel (Raj Kumar Goel Institute of Technology, India)
DOI: 10.4018/979-8-3373-3241-3.ch017

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Abstract

This chapter explores the transformative role of Artificial Intelligence (AI) in strengthening Identity and Access Management (IAM) for industrial automation, aligned with the evolving security demands of Industry 4.0. It details how AI technologies—such as Machine Learning, Deep Learning, and Behavioral Analytics—enhance identity verification, access control, and threat detection across IIoT, ICS, and OT systems. Case studies from Siemens, Equinor, and Tesla showcase real-world applications, highlighting improved security and operational efficiency. The chapter also addresses challenges like adversarial AI, data privacy, and legacy integration, offering solutions including federated learning and blockchain. It concludes with insights into emerging trends like quantum computing, providing cybersecurity professionals and policymakers a forward-looking perspective on AI-driven IAM in industrial environments.

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