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This page is part of Truthound Orchestration 3.x.
Source repository: seadonggyun4/truthound-orchestration
Upstream docs path: docs/engines/drift-detection.md
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Drift Detection¶
Drift detection is an advanced engine capability for comparing current data behavior to an earlier baseline. It is useful when a dataset can still pass simple checks while quietly changing in ways operators care about.
When To Use It¶
- baseline distributions matter, not just row-level validity
- upstream systems change gradually and silently
- model quality needs trend-aware monitoring
Operational Guidance¶
- pair drift detection with profiling and baseline management
- use it as an additional signal, not a replacement for core checks
- keep severity and notification policy explicit so expected seasonal changes do not page the team unnecessarily