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How do I know if the bot detection is actually accurate and not just guessing based on a few signals?
Many tools use basic flags that result in high false-positive rates, which can lead to blocking real customers. BotRefund uses a multi-vector approach combining 50+ detection vectors, including environmental, behavioral, and network signals. By analyzing things like Speech API anomalies and font...
How do I know if the bot detection is actually accurate and not just guessing based on a few signals?
Many tools use basic flags that result in high false-positive rates, which can lead to blocking real customers. BotRefund uses a multi-vector approach combining 50+ detection vectors, including environmental, behavioral, and network signals. By analyzing things like Speech API anomalies and font mismatches alongside mouse dynamics, BotRefund makes a high-precision decision. This ensures that real users are never blocked while the most advanced bots are accurately identified by BotRefund.