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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
DM
Daniel M.
08/16/2022
Validated Reviewer
Verified Current User
Review source: Seller invite
Incentivized Review

Background verification has never been easier than with using Fraud.Net's quick service.

The implementation time was extremely fast and their customer service is very responsive. Fraud.Net allows our company to verify in real-time the background screening and conduct our due diligence on prospective suppliers. Our Compliance team is thrilled with this addition to our supplier onboarding process.
Verified User in Financial Services
UF
Verified User in Financial Services
08/16/2022
Validated Reviewer
Verified Current User
Review source: Seller invite
Incentivized Review

Fraud.net - Review

Fraud.net services and products allow my company to operate in a more risk-free manner. Additionally, its staff and customer service are very helpful and always ready to fix and or develop solutions to my company's needs.
Salihan M.
SM
Salihan M.
08/16/2022
Validated Reviewer
Verified Current User
Review source: Seller invite
Incentivized Review

I found fraud net easy to use and mostly trusted

Their fraud checking service is quite good. And the application is easy to use to setting up the rules.

About

Contact

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