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AI-Driven Cybersecurity in Industrial Automation: Navigating Ethical and Legal Complexities
Abstract
The convergence of artificial intelligence (AI) and industrial automation is reshaping the cybersecurity landscape. As smart factories, intelligent control systems, and interconnected infrastructures become widespread, AI offers powerful tools for detecting, preventing, and responding to cyber threats in real time. However, this advancement also introduces challenges such as algorithmic bias, opaque decision-making, legal complexities, and emerging attack vectors. This work explores AI's dual role in enhancing and complicating cybersecurity within industrial settings. It examines the expanding digital attack surface driven by IoT integration, SCADA system vulnerabilities, and autonomous technologies. Using real-world examples, it highlights both the strengths and limitations of AI in threat mitigation, emphasizing the urgent need for transparency, human oversight, and ethical alignment in deploying AI-driven security solutions.
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