Our bots mimic human behavior with mouse movements and typing speed. How can BotRefund still identify them?

BotRefund combines over 50 detection vectors, including subtle cues like sub‑millisecond input timing, linear mouse trajectories, and rendering anomalies. Advanced bots often leave footprints such as missing hardware‑accelerated graphics or inconsistent timezone data, which BotRefund captures. The platform correlates these signals to generate a confidence score for each session. High‑confidence bot sessions are then documented with video proof for refund claims.