Same Inputs, New Rules

A production fraud model's input feature distributions (transaction amount, merchant category, time of day) look statistically identical to training data, but the model's precision has quietly dropped because fraudsters changed their tactics, altering the true relationship between features and fraud labels. Which phenomenon is this?