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
In-app bot fraud is increasingly jeopardizing your business, with the mobile ecosystem grappling with rampant automated bots that inflict significant damage on applications. Various types of apps are vulnerable to having their entire user experience commandeered for deceptive objectives; for instance, gaming applications can see their in-game economies destabilized, while e-commerce platforms may face severe breaches of financial data. The evolution of bots has led to the emergence of highly sophisticated variants capable of mimicking genuine user behavior with remarkable precision, enabling them to bypass conventional detection techniques. Armed with these advanced bots, fraudsters can disrupt user experiences and negatively impact retention through automated gameplay, account hijacking, credit card fraud, spam, and other abusive practices. In response to this growing threat, Unbotify has developed the first patented machine learning solution designed to distinguish between authentic users and bots. Our state-of-the-art technology leverages an in-depth comprehension of human behavior patterns to effectively identify and eliminate sophisticated bot fraud that might otherwise evade notice, all while maintaining an impressively low false-positive rate. This innovative approach not only protects app integrity but also enhances user trust and engagement.
API Access
Has API
API Access
Has API
Integrations
.NET
Angular
Beaver Builder
Drupal
HTML
Java
Laravel
Node.js
Nuxt
OpenCart
Integrations
.NET
Angular
Beaver Builder
Drupal
HTML
Java
Laravel
Node.js
Nuxt
OpenCart
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
Adjust
Founded
2012
Country
Germany
Website
www.adjust.com/product/unbotify/