Recent algorithms designed to flag unusual traffic from computers are necessary to protect against malicious activities, but they can inadvertently affect legitimate users. Often stemming from rapid actions, high request volumes, or even anonymizing tools, these systems may mistakenly identify genuine users as bots. This trade-off between security and user experience remains a persistent challenge in cybersecurity. While advancements are being made to enhance detection technologies and minimize disruptions, false positives still occur, highlighting the need for continuous improvement. It is crucial for innovations to focus on reducing these errors while maintaining effective defenses against evolving threats.