Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
In the realm of fraud, it is far more economical to focus on prevention rather than remediation. The CyberSiARA system employs advanced traffic testing techniques, enabling a forward-thinking strategy in cyber-security that effectively curtails fraudulent activities. Its traffic classification function distinguishes legitimate users from would-be attackers in real-time through interactive enforcement challenges, swiftly neutralizing both automated and human-originated threats before they can exploit vulnerabilities. Utilizing robust traffic analysis methods, CyberSiARA discerns user intent by pinpointing signs of fraud within traffic patterns. When suspicious activities are detected, the system initiates interactive challenges to assess the legitimacy of the traffic, ensuring that genuine users maintain a smooth and uninterrupted access experience. In contrast, it effectively thwarts attacks from a variety of sources by recognizing and counteracting traffic engineered to bypass authentication hurdles using cutting-edge challenge techniques. This comprehensive approach not only enhances security but also fosters trust among users engaging with online platforms.
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.
API Access
Has API
API Access
Has API
Integrations
.NET
2Captcha
Angular
Anti-Captcha
Best Captcha Solver
CAPTCHAs.IO
Cap.guru
CapMonster Cloud
CapSolver
Captcha.guru
Integrations
.NET
2Captcha
Angular
Anti-Captcha
Best Captcha Solver
CAPTCHAs.IO
Cap.guru
CapMonster Cloud
CapSolver
Captcha.guru
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
CyberSiARA
Founded
2018
Country
United Kingdom
Website
www.cybersiara.com
Vendor Details
Company Name
GeeTest
Founded
2012
Country
China
Website
www.geetest.com/en