How should fraud detection systems handle model drift in production?
You need to automate monitoring and track performance on key segments like new user sign-ups or high-value wire transfers. Implement a separate pipeline to retrain and A/B test new 'challenger' models without taking the main system offline. This requires constant monitoring and model management to address changing fraud patterns by region, attack vector, and transaction type.