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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
To mitigate financial risks and protect their reputations, it is crucial for operators to combat fraud in real-time, especially concerning roaming and national-to-international calls. Many telecommunications providers have implemented various fraud prevention measures; however, the emergence of new technologies continues to unveil additional vulnerabilities. Adopting protective tools against these new attack vectors is often a slow process. As a result, operators are increasingly moving from traditional offline analysis to utilizing network enforcement capabilities that can halt fraudulent calls as they happen. CDR-based systems, which rely on successful call records, unfortunately overlook failed call attempts, limiting their effectiveness to a reactive stance. Consequently, operators are eager to proactively address fraudulent activities at all stages of the calling process. For instance, by tracking the number of call attempts to known black-listed numbers, operators can identify and block PBX hacked devices, as fraudsters typically cycle through multiple numbers before successfully connecting. Moreover, this proactive approach can help in identifying patterns of behavior that are indicative of larger fraud schemes, thereby enhancing overall security.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
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
TOMIA
Founded
1999
Country
United States
Website
tomiaglobal.com/real-time-anti-fraud-raf
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