GeeTest Reviews

GeeTest Description

Conventional CAPTCHA systems distinguish between human users and automated bots through cognitive challenges, primarily relying on tasks involving visual recognition, where humans excel but machines typically struggle. However, advancements in machine learning have enabled machines to perform these cognitive tasks as well, complicating the landscape of bot detection. To counteract the increasing sophistication of bots, traditional CAPTCHA systems have had to become more complex, resulting in greater user friction and a decline in conversion rates. To address the delicate balance between security and user experience, GeeTest introduced its AI-driven Slide CAPTCHA in 2012. Rather than employing visual recognition challenges, GeeTest developed a self-adaptive defense model leveraging extensive biometric data accumulated over eight years, utilizing Graph Convolutional Networks (GCN). This innovative approach analyzes more than 200 parameters, offering a comprehensive and nuanced insight into bot activity linked to any API, ultimately enhancing security without compromising user engagement. As a result, GeeTest's solution not only improves identification of malicious entities but also fosters a smoother interaction for legitimate users.