Artificial intelligence is gaining traction in Operational Technology and Industrial Control Systems, primarily for monitoring, anomaly detection, and optimization. While AI adds valuable analytics capabilities, it does not alter the fundamental requirements of safety, determinism, and operational continuity that define industrial environments. Instead, it introduces new complexity, dependencies, and governance challenges. Effective adoption depends on disciplined integration, human oversight, and extending established OT safety and security principles to AI systems.
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