AI-Assisted OT Cybersecurity: Useful Patterns and Dangerous Ones

AI can reduce the volume of security information an analyst must read, but OT actions still need controlled procedures.

Where AI helps

Anomaly detection can highlight unusual traffic patterns, device relationships and behavior changes. LLMs can summarize logs and procedures.

The dangerous shortcut

Do not allow a model to invent firewall rules, isolate controllers or rewrite device configuration without deterministic checks and authorization.

Use the model as analyst

AI should prioritize evidence; containment and configuration actions should follow tested playbooks.

Preserve evidence

Keep source logs, timestamps, device identity and the basis for the recommendation.

Final takeaway

The engineering value comes from a measurable improvement, explicit boundaries and a design that remains understandable when the system is under pressure.