minFraud Description

minFraud, a data return service, helps businesses prevent online fraud. It provides risk scoring and data related to online transactions. Find out if minFraud is right for you. Based on machine learning models and human review, the riskScore is generated in less than half a second. The riskScore is generated from data containing over 3 billion online transactions, which the minFraud service screens annually on thousands of online businesses. An IP address is often all that is needed to evaluate certain types of online activity, such as account logins or affiliate or incentivized visitors or app installs. The IP Risk Score can be used to determine the IP risk and prevent bad activity. To improve IP risk scoring, we recommend that you use our device tracking functionality.

Pricing

Free Version:
Yes

Integrations

Reviews

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Company Details

Company:
MaxMind
Year Founded:
2002
Headquarters:
United States
Website:
www.maxmind.com

Media

Recommended Products
Start building the next generation of GenAI apps today Icon
Start building the next generation of GenAI apps today

MongoDB and Google Cloud bring together powerful technologies that enable you to confidently build GenAI experiences.

MongoDB Atlas is a fully-managed developer data platform built by developers, for developers. With tight integration to Google Cloud services such as Vertex AI and BigQuery, you can accelerate application deployment to stay at the forefront of AI innovation.
Learn More

Product Details

Platforms
SaaS
Type of Training
Documentation
Live Online
Customer Support
Phone Support
Online

minFraud Features and Options

Fraud Detection Software

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

minFraud User Reviews

Write a Review
  • Previous
  • Next