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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

Screenshots View All

Screenshots View All

Integrations

Microsoft 365
PostgreSQL
SQL Server

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

Alternatives

Alternatives

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Udentify

Fraud.com
TAFraudSentry Reviews

TAFraudSentry

ThreatAdvice