WorkOS Radar's bot detection system is designed to counter modern bots that have evolved beyond traditional detection methods, using a device fingerprinting approach that analyzes multiple characteristics of devices attempting to authenticate. This creates a unique signature that persists even when the bot changes IP addresses or user agents, making it difficult for bots to fake consistently. The system then evaluates authentication attempts across multiple dimensions, including behavioral patterns, timing analysis, consistency checks, and historical context, to build a comprehensive risk profile. When detecting bot activity, Radar flows through a decision pipeline that can block the attempt, allow it with logging, notify administrators or users, or take no action if no suspicious patterns are detected. The system provides actionable visibility into device fingerprint details, classification signals, geographic information, and actions taken, helping organizations understand and control automated interactions with their authentication systems.