Best Practices for AI-Driven IoT & OT Security

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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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