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Description
Location Behavioral Biometrics utilizes the distinctive location-based behaviors of individual users to develop a dynamic location fingerprint that is challenging for fraudsters to replicate. This innovative approach serves as a powerful tool for financial institutions and retailers, effectively mitigating risks associated with new account fraud and account takeover. By leveraging network signals alongside on-device sensor information, our advanced location technology crafts unique behavioral patterns that facilitate accurate user identification and authentication. Notably, our solution operates without relying on personally identifiable information (PII) and functions seamlessly in the background, ensuring a secure and smooth user experience. Furthermore, it enables the validation of addresses globally through real-time location data, while also detecting location spoofing tactics commonly employed in identity fraud and account takeover schemes. Additionally, it identifies anomalies to prevent fraudulent activities such as unauthorized accounts, logins, and transactions, thereby thwarting organized fraud operations. Finally, our system empowers your identity verification processes with immediate access to location data, enhancing overall security.
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.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$79/month
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
Incognia
Country
United States
Website
www.incognia.com
Vendor Details
Company Name
ShieldLabs Inc
Founded
2025
Country
United States
Website
shieldlabs.ai/
Product Features
Authentication
Biometric
Credential Management
Knowledge-Based Authentication
Mobile Authentication
Multifactor Authentication
Out-of-Band Authentication
Policy Management
Self Service Portal
Single Sign On
Social Sign On
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
Alternatives
Alternatives
No Alternatives