Risk Model Drift & Retraining Monitor
Watch a bank's credit-risk score distribution drift away from its training baseline as the market regime shifts, track the Population Stability Index (PSI) live in 3D, and trigger retraining before the model's accuracy collapses.
AI credit and fraud risk models don't stay accurate forever — as the economy shifts, the population of transactions and applicants a model scores drifts away from the data it was trained on, and its predictions quietly degrade. This simulator renders that process in 3D: a ridge of daily score-distribution histograms scrolls back through simulated time, drifting away from a frozen training baseline as you tune how fast and how hard the market regime shifts. A live Population Stability Index (PSI) — the exact statistic banks use to monitor deployed risk models under Basel-III-era governance — tracks how far the two distributions have diverged, model accuracy degrades as drift grows, and you can trigger a volatility shock or retrain the model on demand to watch the whole cycle reset.
Watch a bank's AI credit-risk score distribution drift away from its training baseline as the market regime shifts, track the Population Stability Index (PSI) live in 3D, and trigger retraining before the model's accuracy collapses.
3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install