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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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

Screenshots View All

Screenshots View All

Integrations

.NET
2Captcha
Angular
Anti-Captcha
Best Captcha Solver
CAPTCHAs.IO
Cap.guru
CapMonster Cloud
CapSolver
Captcha.guru
CaptchaSonic
Drupal
HTML
Java
Laravel
Node.js
Nuxt
OpenCart
PHP
WordPress

Integrations

.NET
2Captcha
Angular
Anti-Captcha
Best Captcha Solver
CAPTCHAs.IO
Cap.guru
CapMonster Cloud
CapSolver
Captcha.guru
CaptchaSonic
Drupal
HTML
Java
Laravel
Node.js
Nuxt
OpenCart
PHP
WordPress

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

Alternatives

Alternatives

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