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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
Accurately differentiating between authentic users and potential threats requires the real-time identification of unique devices and the analysis of global historical data. However, device characteristics may evolve over time, which can lead to misidentifying the same device as a different entity. It is essential to gather ample data while ensuring user privacy is upheld, particularly in light of rigorous data protection laws. As new devices and operating systems are frequently introduced, remaining current and flexible is crucial for effective identification. Additionally, linking multiple device profiles to a single user necessitates a robust capability for cross-device tracking to maintain accuracy. There is also the challenge of manipulating user-agent information sent by browsers or applications to replicate legitimate device behavior. Maintaining a distinct device ID can be complicated when it faces tampering, modifications, or hijacking attempts. Moreover, distinguishing each device becomes increasingly difficult in challenging scenarios, such as factory resets, altered device locations, the detection of group control tools, script-based manipulations, and app reinstalls. Continuous innovation in detection techniques will be essential to address these evolving challenges effectively.
API Access
Has API
API Access
Has API
Integrations
Android
Apple iOS
HTML
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
Incognia
Country
United States
Website
www.incognia.com
Vendor Details
Company Name
TrustDecision
Founded
2018
Country
Singapore
Website
trustdecision.com/solutions/device-fingerprint
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