Average Ratings 0 Ratings
Average Ratings 0 Ratings
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.
Description
We are a cybersecurity firm that focuses on preventing fraud and safeguarding identities. Our goal is to facilitate secure digital interactions seamlessly for both individuals and organizations as they undergo digital transformation. We utilize various technologies for recognizing individuals by analyzing their unique physiological and behavioral traits. After capturing this data, our system identifies a distinct pattern for every person, which will serve as a reference for future comparisons. We also conduct transactional analyses of user behavior and implement channels specifically designed for detecting and preventing fraud. Our approach includes a secure and rapid exchange of sensitive information, referencing an encrypted data vault. Additionally, we offer a comprehensive multi-channel fraud prevention system that leverages machine learning to develop intelligent profiles, enabling us to identify potentially fraudulent activities based on observed user behavior, ensuring a robust defense against cyber threats. By continuously adapting to new data, we enhance our ability to protect against emerging fraud tactics.
API Access
Has API
API Access
Has API
Integrations
Microsoft 365
PostgreSQL
SQL Server
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
TOMIA
Founded
1999
Country
United States
Website
tomiaglobal.com/real-time-anti-fraud-raf
Vendor Details
Company Name
VU Security
Founded
2007
Country
Argentina
Website
www.vusecurity.com/en/soluciones#prevencion
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
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