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Description
ShieldLabs specializes in detecting and preventing fraud while also evaluating traffic quality through sophisticated scoring methods. It effectively combats issues such as multi-accounting, account sharing, account takeovers, fake signups, and ad fraud.
By employing a single JavaScript snippet, it gathers over 100 distinct device and network signals during every visit, allowing for comprehensive cross-verification that reveals sophisticated masking techniques and achieves an impressive detection accuracy of up to 99%. Returning users are identified seamlessly, even when using cleared cookies, incognito browsing, or different IP addresses, while linked users can be tracked across multiple accounts and devices.
Various elements such as VPNs, proxies, Tor, Apple Private Relay, datacenter IPs, anti-detect browsers, browser automation tools, bots, and AI agents are all categorized as specific signals instead of being reduced to a simple binary flag. Each visitor, user, device, and IP is assigned a unique risk score, and predefined patterns address common fraud scenarios like multi-accounting, account sharing, account takeovers, and impossible travel incidents, with traffic quality evaluated based on its source, channel, and campaign.
Integrating the solution takes just five minutes and includes client and server SDKs, a public API, and signed webhooks, making it accessible for businesses looking to enhance their security measures rapidly. As a result, organizations can swiftly implement robust defenses against fraud while maintaining a seamless user experience.
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
Screenshots View All
No images available
Integrations
Beaver Builder
Pricing Details
$79/month
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
ShieldLabs Inc
Founded
2025
Country
United States
Website
shieldlabs.ai/
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
Product Features
Alternatives
No Alternatives