Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Efficiently identify and prevent fraudulent transactions by leveraging an extensive historical data analysis. PaymentGuard employs advanced machine learning techniques to analyze a comprehensive database of customer information, which encompasses transaction details, device characteristics, and geographical locations, enabling the identification of both current and emerging fraud patterns. By recognizing these patterns, the system can forecast potential threats in real-time and send immediate notifications that can be managed through an intuitive case management system. This allows for the prompt analysis, prediction, and disruption of any suspicious payment activities without interruptions. PaymentGuard features a broad, frequently updated collection of threat models that enhance the precision of fraud detection. Its user-friendly case management platform empowers investigators to swiftly and effectively respond to any identified fraud incidents. In an industry where continuous innovation is crucial, we ensure you remain at the forefront. We are committed to advancing cutting-edge technologies such as Blockchain, artificial intelligence, and cloud computing to enhance the security and evolution of our offerings, ensuring they align with your needs. Additionally, our proactive approach to technology integration ensures that our clients can adapt to the ever-changing landscape of payment fraud prevention.
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
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Eastnets
Country
United States
Website
www.eastnets.com/products/paymentguard
Vendor Details
Company Name
TOMIA
Founded
1999
Country
United States
Website
tomiaglobal.com/real-time-anti-fraud-raf
Product Features
AML
Behavioral Analytics
Yes
Case Management
Yes
Compliance Reporting
Yes
Identity Verification
Yes
Investigation Management
Yes
PEP Screening
No
Risk Assessment
Yes
SARs
No
Transaction Monitoring
Yes
Watch List
Yes
Fraud Detection
Access Security Management
No
Check Fraud Monitoring
No
Custom Fraud Parameters
No
For Banking
No
For Crypto
No
For Insurance Industry
No
For eCommerce
No
Internal Fraud Monitoring
No
Investigator Notes
No
Pattern Recognition
No
Transaction Approval
No
Product Features
Fraud Detection
Access Security Management
No
Check Fraud Monitoring
No
Custom Fraud Parameters
No
For Banking
No
For Crypto
No
For Insurance Industry
No
For eCommerce
No
Internal Fraud Monitoring
No
Investigator Notes
No
Pattern Recognition
No
Transaction Approval
No