According to Thales' 2024 Imperva Bad Bot Report, bots now comprise almost half of all global internet traffic. Bots can be used to automate a wide range of activities, including monitoring website performance and providing real-time customer service chats. However, some bots have malicious intent and can be used to launch cyber-attacks. It is important for businesses to understand how these bots can affect their operations. Bad bots can steal credentials or intellectual property, launch DDoS attacks, and use up precious resources. Since it can be difficult to identify the bot operator behind the misuse, businesses need tools to respond to incoming bot activity.
GeeTest offers advanced biometric data and AI-powered bot management technology to help businesses detect and mitigate bot activity. Its CAPTCHA types provide security without compromising the user experience and protect businesses against bot threats. These CAPTCHAs analyze traffic to block bots from accessing and exploiting resources on websites and apps. GeeTest also leverages a variety of techniques, including a bot directory filled with historical and real-time data, customized bot signature detection, and client-oriented bot management policy settings for dynamic protection and in-depth traffic analysis. This allows it to identify and distinguish between automated bots and humans, and block malicious bot traffic.
GeeTest offers an easy and seamless integration with any prior security bot detection, including its well-known slide-CAPTCHA. All of its CAPTCHA types can be customized and deployed to various scenarios. It supports up to 78 languages, making it ideal for global enterprises that serve a large customer base, especially those in the e-commerce, travel, blockchain, and gaming industries. GeeTest adapts to evolving fraud trends by constantly feeding its machine learning models with rich risk data to find non-human features within online traffic.
If GeeTest's Risk Analysis engine cannot determine where the traffic is coming from, it uses a challenge-response mechanism. Behavioral analysis is embedded within the mechanism to increase security and reduce friction when users interact with an app, website, or API.
GeeTest OneTap
Testing out GeeTest CAPTCHA is effortless, especially with its smooth verification process called OneTap. With just one simple click, users can verify their visit to a website, removing any friction that would cause many users to bounce.
GeeTest OneTap eliminates the need for customers to spend time on old CAPTCHAs that require them to click on multiple images or solve word problems. This smoothens the customer verification process without compromising security. It takes less time to validate and verify, so users can access a website or application more quickly, ensuring a smooth and friction-free user experience.
But does this mean user data gets collected? No. GeeTest only analyzes data. The bot management provider complies with regulations on data protection, so no personal or sensitive information gets recorded or stored. It is GDPR compliant and ISO 27001, 20000, 27701, and 9001-certified.
The bot detection and mitigation software supports multiple devices and operating systems. Businesses can utilize a mixture of numerous types of CAPTCHA (slide, icon, iconcrush, gobang, and noCAPTCHA) or stick to the versatile zero-friction "click to verify" button for all their existing platforms.
GeeTest Device Fingerprinting
GeeTest provides a cybersecurity solution called Device Fingerprinting that helps businesses combat harmful traffic caused by malicious bots. This solution helps businesses identify and track devices, and prevent inaccuracies caused by single devices linked to multiple accounts or one account spread across several devices. The Device Fingerprinting feature maps traffic requests to the corresponding devices and accounts, providing businesses with critical insights into traffic patterns. By using this visual approach, GeeTest Device Fingerprinting helps improve collaboration among stakeholders and facilitates more fluid communication between departments.
Fingerprinting is a technique used to analyze information and identify the source of a request. It helps to differentiate between genuine users and malicious traffic generated by bots. GeeTest has enhanced this technique by incorporating 34 black industry risk labels to monitor traffic credibility. It examines the behavior and device dimensions to pinpoint potential threats.
GeeTest Device Fingerprinting automates the organization of risk details, frequency information, and associated data for high-risk devices. This ensures that every device is unique and legitimate. It displays a relationship map that businesses can use to identify connections among risky traffic, weed out dubious devices, and prevent account takeovers.
Businesses can add as many applications as possible to the bot detection software. This software distinguishes each application's data through unique IDs and keys, allowing businesses to conduct secure data analysis for different modules without overlaps. It creates unique IDs without compromising user privacy. These identifiers are resilient against tampering, but they also ensure that a business' risk management strategies remain stringent and compliant.
GeeTest Device Fingerprinting offers an intuitive analytics dashboard where businesses can derive insights to make informed decisions. This solution gives detailed risk dimensions for a holistic view of traffic patterns. Businesses can conduct an in-depth analysis of daily traffic risks to identify the attack strategies. Recognizing the patterns allows them to optimize an effective security strategy against bot attacks.
GeeTest lets businesses regulate who or what can view and use specific controls through access permissions. They can manually add blacklists or whitelists to reduce the risk of unauthorized intrusion and protect their digital assets.
Conclusion
GeeTest provides advanced bot management solutions that free websites, mobile apps, and APIs from malicious traffic. Leverage its Adaptive CAPTCHA to prevent sophisticated bot attacks without complicating the verification process for customers through OneTap. Device fingerprinting also excels in fortifying platforms against evolving digital threats. It can visualize attack patterns through risk labels and cutting-edge technologies, ensuring comprehensive device identification and analysis.
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