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Description
In the modern era, enterprises that leverage digital transformation primarily conduct their operations online and in real-time, minimizing the need for human involvement. While this strategy significantly lowers expenses and enhances customer satisfaction, it simultaneously opens the door to substantial risks of fraud perpetrated by savvy individuals who exploit the online environment's inherent anonymity and ease of access. For instance, in the realm of e-commerce, fraudulent transactions can arise from hacked accounts and pilfered payment information. Additionally, various forms of deception may include account takeovers, misuse of complimentary trials, fake reviews for products, warranty abuses, refund scams, reseller fraud, and exploitation of discount programs. These fraudulent actions can severely impact both the bottom line and the brand reputation of the business. Unlike in the early days of the internet, today's fraudulent schemes are often executed by organized, well-funded groups of professionals who are adept at navigating online systems. The evolving landscape of cyber threats necessitates a proactive approach to safeguard against these sophisticated fraud tactics.
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
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
Microsoft
Founded
1985
Country
United States
Website
learn.microsoft.com/en-us/dynamics365/fraud-protection/
Vendor Details
Company Name
Adjust
Founded
2012
Country
Germany
Website
www.adjust.com/product/unbotify/
Product Features
Fraud Detection
Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval