Monitoring machine learning models for bot detection

Cloudflare's Bot Management utilizes machine learning models to detect and mitigate automated bot traffic. The company constantly improves these models, incorporating the latest threat intelligence. Monitoring plays a crucial role in ensuring that the models continue to generalize with new threats, browsers, and bots. Machine learning monitoring provides insights into how the model behaves at a granular level without requiring extensive manual investigation. It helps identify bot score anomalies, monitor any model predictions or request fields, and deploy new models. The process involves generating labeled datasets for comparison against the model's bot scores, using specializations to focus on dimensions of interest, and integrating monitoring into Cloudflare's bots machine learning platform.