IPQualityScore Reviews & Ratings

IPQualityScore

5.0 out of 5 stars

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

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Ratings and Reviews 2 Ratings

Total 5 out of 5 stars
ease 5 out of 5 stars
features 5 out of 5 stars
design 5 out of 5 stars
support 5 out of 5 stars

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What is TOMIA?

To effectively manage financial risks and safeguard their reputations, it is essential for operators to address fraud in real-time, particularly in relation to roaming and international calls. Although many telecom providers have set up various preventative measures against fraud, the advent of new technologies reveals further weaknesses that require attention. The integration of defenses against these emerging threats is often a gradual process, causing operators to shift from conventional offline methods to leveraging network enforcement capabilities that can immediately stop fraudulent calls in progress. Systems based on Call Detail Records (CDRs), which depend on successful call logs, tend to neglect failed call attempts, which confines their effectiveness to a more reactive approach. Consequently, there is a growing urgency for operators to take proactive steps to tackle fraudulent activities throughout every phase of the calling process. For example, by monitoring the volume of call attempts made to known black-listed numbers, operators can effectively identify and intercept PBX hacked devices, as fraudsters often cycle through numerous numbers before achieving a successful connection. Additionally, this forward-thinking strategy allows for the detection of behavioral patterns that may signal larger fraud operations, thereby bolstering overall security measures. As fraud continues to evolve, the need for innovative solutions becomes increasingly vital for the telecommunications industry.

What is IPQualityScore?

IPQualityScore offers a comprehensive set of fraud prevention tools that streamline quality controls aimed at thwarting bots, counterfeit accounts, fraudulent chargebacks, and harmful users, all while maintaining a seamless user experience. Leveraging top-notch IP reputation data alongside robust user validation methods, you can effectively identify and block malicious actors as well as cyber threats. By implementing the proactive Prevent Fraudâ„¢ system, you can enjoy smoother operations and significantly reduce complications in your processes. This approach not only enhances security but also ensures that legitimate users can navigate your platform without disruption.

Media

Media

Integrations Supported

Integrations Supported

ActiveCampaign
Adobe Marketo Engage
Affise
AppsFlyer
BigCommerce
CAKE
Everflow
LinkTrust
Magento
OpenCart
PrestaShop
Quickwork
Shopify
Splunk Cloud Platform
Splunk Enterprise
Splunk SOAR
Stackreaction
WHMCS
WooCommerce
WordPress

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$49.99 per month
Free Version
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
Android
iPhone
iPad

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

TOMIA

Date Founded

1999

Company Location

United States

Company Website

tomiaglobal.com/real-time-anti-fraud-raf

Company Facts

Organization Name

IPQualityScore

Date Founded

2011

Company Location

United States

Company Website

www.ipqualityscore.com

Categories and Features

Fraud Detection

Not specified

Categories and Features

Click Fraud

Not specified

Cybersecurity

Not specified

Email Verification

Not specified

Fraud Detection

Access Security Management
Custom Fraud Parameters
For Banking
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval

IT Security

Not specified

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