GeeTest

Intelligent Bot Management and Security Platform

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Description

GeeTest is a security platform specializing in bot management and fraud prevention. It utilizes a range of technologies to differentiate between human users and malicious bots, safeguarding online interactions and business operations. The platform employs adaptive behavior verification, including advanced CAPTCHA methods, which adjust security levels based on real-time risk assessment, ensuring a smooth experience for legitimate users while blocking automated attacks.

Key components include Device Fingerprinting, which generates reliable unique device identifiers and detects environmental risks like emulators or tampering, and a Business Rule Engine that allows organizations to build flexible, automated risk control systems tailored to their specific needs. GeeTest also offers features like One-Click Authentication for seamless phone number verification via carrier networks. The platform is designed to combat various threats such as credential stuffing, scraping, spam, and financial fraud across industries like e-commerce, finance, gaming, and travel, leveraging over a decade of experience in对抗 black hat activities.

Key Features

Behavior Verification: Adaptive CAPTCHA (v3, v4) and security strategies using image models, container probes, JS parameter checks, and PoW.
Device Fingerprinting: Generates unique device IDs, detects risky environments (emulators, tampering, group control) with 45+ risk tags, and uses real-time association models.
Business Rule Engine: Enables building custom, automated risk control systems based on business logic and risk inputs.
One-Click Authentication: Verifies phone numbers directly via carrier networks and SIM data without manual user input.
Risk Database Integration: Leverages 12 years of historical risk control data for enhanced assessment.
Protocol Cracking Detection: Identifies attempts to bypass security through protocol manipulation.
Environment Forgery Detection: Assesses and identifies simulated, tampered, or suspicious device environments.

Use Cases

Preventing automated bot attacks like credential stuffing, web scraping, and spam.
Securing user login, registration, and transaction processes.
Reducing financial losses from fraudulent activities.
Implementing custom risk management workflows in various business scenarios.
Enhancing user authentication with frictionless methods.
Protecting APIs and mobile applications from abuse.
Mitigating promo abuse and fake account creation.
Ensuring platform integrity for gaming, e-commerce, and social sites.