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Description
Covery has developed a cutting-edge device intelligence technology that achieves 100% efficiency by gathering data from devices throughout the entire user experience. By incorporating a script into your payment or other relevant pages, you can monitor the steps taken by your customers and receive a unique cryptographic “hash” in return. The information collected during the KYC process contributes to a comprehensive user evaluation, enhancing fraud prevention efforts while also facilitating revenue growth, automating processes, and streamlining payouts. The integration of new, intricate data along with the Trustchain—a dynamic real-time database housing 30 million ID reputation records—enables more accurate decision-making, consolidating insights into a single platform. Covery's risk scoring model empowers you to manage both fraudulent and trustworthy users effectively. By aligning your business operations with the necessary risk logic, you can maximize customer lifetime value. Furthermore, sending device fingerprinting data alongside events to the Covery API enhances your ability to analyze user behavior comprehensively. This holistic approach not only improves security but also optimizes customer engagement and satisfaction.
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
Covery
Country
Cyprus
Website
covery.ai/products/device-fingerprinting/
Vendor Details
Company Name
TOMIA
Founded
1999
Country
United States
Website
tomiaglobal.com/real-time-anti-fraud-raf
Product Features
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