AI Behavior Monitoring: Your Device Isn't Static
- James W.
- 3 days ago
- 1 min read
That occupancy prediction system in your building. It passed assessment when deployed.
Today, six months later, it's making completely different predictions because its AI model has retrained.
Buildings aren't monitoring for that drift.
They should be.
Modern IoT devices learn. They adapt. They change behavior over operational time.
Assessment at deployment only captures a snapshot. You need continuous monitoring.
SBCGA-CONFORM includes:
✓ Baseline behavior documentation at deployment
✓ Monthly behavior monitoring (is it drifting?)
✓ Drift detection thresholds
✓ Re-assessment triggers when behavior changes significantly
✓ Updated conformity documentation
This isn't intrusive. It's systematic validation that AI-enabled devices continue to perform as assessed.
If a device's AI learning causes it to behave radically differently, you need to know. Then decide: Is this acceptable adaptation or conformity violation?
Your smart building shouldn't be a black box. It should be auditable, monitorable, and conformity-tracked.
Learn SBCGA-CONFORM → AC-146 paper
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