GeeTest Advanced Bot Management and Security Platform

What is GeeTest?

GeeTest provides a comprehensive bot management platform designed to safeguard online businesses against automated threats, fraud, and security risks stemming from bot activity. It utilizes adaptive security strategies, primarily through its Behavior Verification (CAPTCHA v4) system, which intelligently distinguishes between human users and malicious bots without disrupting the user experience. The platform aims to proactively counter evolving attack methods, ensuring seamless interactions while maintaining robust security.

Beyond CAPTCHA, GeeTest incorporates Device Fingerprinting technology to offer deep insights into website traffic and enable real-time risk detection. This capability allows businesses to identify suspicious devices and activities effectively. Furthermore, its Business Rule Engine provides a flexible framework for creating automated risk control systems, enabling organizations to combine GeeTest's security data with their own business logic for tailored threat responses and optimized operational security across various digital touchpoints.

Features

Behavior Verification (GeeTest CAPTCHA v4): Employs adaptive security strategies to differentiate humans from bots, ensuring security with a seamless user experience.
Device Fingerprinting: Delivers comprehensive traffic insights and detects risks in real-time for effective risk management.
Business Rule Engine: Enables the creation of flexible, automated risk control systems by combining risk data with custom business rules.
Adaptive Security: Proactively modifies security tactics to stay ahead of evolving bot attack methods.
Real-time Risk Detection: Identifies and flags potential threats and anomalies as they occur.
Environment Detection: Assesses device environments for risks like simulators, tampering, or group control.
Protocol Crack Detection: Identifies attempts by bots to bypass security measures through protocol manipulation.
Identity Verification (One-click Authentication): Verifies user identity via mobile network data (integrates with telecom operators).

Use Cases

Protecting login forms from credential stuffing and brute-force attacks.
Securing user registration processes against automated fake account creation.
Preventing bot activity during online transactions and purchases.
Stopping automated abuse in voting, polling, or promotional activities.
Mitigating spam and malicious content posting in forums and comment sections.
Safeguarding APIs from scraping and denial-of-service attacks.
Reducing click fraud and fake engagement in marketing campaigns.
Enhancing overall website and application security posture against automated threats.