Best Practices for AI-Driven IoT & OT Security
1. Train AI on Real-World OT Data
Use contextual, historical device behavior to improve accuracy.
2. Apply Zero Trust at the Edge
Authenticate every device and action — no assumptions.
3. Simulate Before You Deploy
Use digital twins to test AI responses without risking live systems.
4. Enable Human-AI Collaboration
Design interfaces that let operators easily review and override AI actions.
5. Monitor and Refine Continuously
AI needs tuning — schedule regular model validation and updates.
Conclusion-
Good AI is trained. Great AI is tested, trusted, and constantly improved.
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