Building unique, per-customer defenses against advanced bot threats in the AI era

What this post added

Introduces a new platform for per-customer behavioral anomaly detection using machine learning models to identify unique bot behaviors. This platform establishes dynamic baselines of normal traffic for each customer, identifies deviations from these baselines, and generates actionable findings through new Bot Detection IDs for WAF rules. It also details improvements in globally scalable bot fingerprinting, including heuristics for HTTP/2 and Client Hello extensions, and enhanced detection for residential and commercial proxy networks by combining network data with client-side information from challenge solves.