Continuous model oversight to detect drift, anomalies, and compliance violations across production systems. This workspace provides live health metrics, automatic alerts, and AI explanations for every observed deviation.
Models Monitored
12
Drift Alerts (24h)
3
Anomalies Detected
5
Resolved Incidents
11
Drift in feature “income_ratio” (+7%) detected • Action taken: retraining scheduled • Confidence: High
Prediction anomaly for segment “Young Borrowers” • Fairness deviation: -12% • Suggestion: review training dataset distribution.
Stable performance observed over 30 days • Sentiment accuracy at 96% • No compliance anomalies detected.
✔️ Data Drift Detection — monitors input feature distributions in real time.
✔️ Concept Drift Analysis — tracks accuracy shifts vs baseline.
✔️ Bias Re-Evaluation — automated fairness recalibration every 30 days.
✔️ Compliance Triggers — flags anomalies impacting regulatory KPIs (e.g., loan approval parity).
✔️ Explainability Log — generates SHAP and LIME plots for every flagged instance.
Ask: “What caused the drift in Credit Scoring Engine?” or “Summarize weekly compliance anomalies.”