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FraudNet

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36 reviews
  • 1 profiles
  • 3 categories
Average star rating
4.6
Serving customers since
2015

Profile Name

Star Rating

27
7
2
0
0

FraudNet Reviews

Review Filters
Profile Name
Star Rating
27
7
2
0
0
Verified User in Accounting
AA
Verified User in Accounting
08/10/2022
Validated Reviewer
Verified Current User
Review source: Seller invite
Incentivized Review

A good solution, but not an all-in-one solution.

Clear management of transaction information. The ability to quickly write, rewrite, and review rules. Useful queuing systems. Quick and reponsive software. It takes some work but you can make this fit your needs.
Verified User in Financial Services
AF
Verified User in Financial Services
05/27/2022
Validated Reviewer
Verified Current User
Review source: Seller invite
Incentivized Review

A good engine for mitigating fraud risk.

The ability to whitelist and blacklist suspicious users and merchants.
Verified User in Financial Services
UF
Verified User in Financial Services
05/27/2022
Validated Reviewer
Review source: Seller invite
Incentivized Review

Highly recommended for the financial and e commerce institutions

To get maximum information on minimal clicks, easy to use, dashboard Technical perspective: GUi simple, easy to integrate the APIs,

About

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HQ Location:
New York, United States

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What is FraudNet?

FraudNet is a comprehensive fraud management platform that offers advanced AI-powered tools to help businesses detect and prevent fraud across various digital channels. The platform provides solutions for identity verification, transaction monitoring, and risk analysis, enabling organizations to safeguard revenue and enhance trust with their customers. Fraud.net caters to industries such as e-commerce, financial services, and travel, offering customized fraud prevention strategies tailored to specific business needs. The company emphasizes real-time detection and cross-channel analytics, aiming to reduce fraud losses and improve operational efficiency.

Details

Year Founded
2015
Website
www.fraud.net