We’re worried that blocking bots might also block legitimate users with unusual browsers. How does BotRefund avoid false positives?

BotRefund evaluates a comprehensive set of signals, including device fingerprints, rendering behavior, and permission states, before labeling a session as a bot. It requires multiple high‑confidence indicators to trigger a block, reducing the chance of misclassifying atypical but genuine users. The system also provides a manual review option for borderline cases. Continuous learning updates the detection models to maintain low false‑positive rates.