Analysis reveals AI anomaly detection can create false confidence in operational technology, indicating risks in safety protocols.
Step into almost any modernized control room today, and you will see a familiar setupon at least one screen: a clean, polished dashboard, a reassuring green statusindicator, and a vendor badge promising "AI-powered anomaly detection" for the plant'soperational technology (OT). Highlighting this common scene emphasizes the risk of misplaced confidence, keepingthe reader engaged with the safety implications. Ask the operators how often the model has actually caught something that mattered,and they usually do not give a clear answer. The false confidence these deployments create can lead to complacency, makingcritical infrastructure more vulnerable and prompting OT professionals to seek bettersolutions.Deploying AI in environments it wasn't designed for can give a false sense of security,urging OT cybersecurity professionals to remain vigilant and cautious about relyingsolely on silence as evidence of safety.
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Muhammad Ali Khan Khan (2026) studied this question.
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