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Artificial intelligence-enabled fraud prevention suite
Fraud.net is a cloud-based enterprise risk management suite designed to help businesses across retail banking, eCommerce, government, hospitality, travel, and other sectors detect and prevent identity frauds using artificial intelligence and machine learning algorithms. It includes a workflow engine, which allows administrators to configure case-specific rules to automate or replicate repetitive tasks and review transactions to auto-trigger countermeasures across anomalies.
Typical customers
Platforms supported
Support options
Training options
Value for money
4.8
/5
16
Starting from
0.02
Per month
Usage Based
Value for money contenders
Functionality
4.6
/5
16
Total features
86
6 categories
Functionality contenders
Overall Rating
4.9
/5
16
Positive reviews
100
%
14
2
0
0
0
AR
Anonymous Reviewer
AD
Andy D.
AR
Anonymous Reviewer
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Anonymous Reviewer
MR
Malte R.
AR
Anonymous Reviewer
Overall rating contenders
Anonymous Reviewer
Verified reviewer
Medical Devices, 1-10 employees
Review source
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Fraud.net helps lower the risk of clicking any phishing scams or opening any suspicious emails. By doing so, it can make my time more efficient.
I like the ability to view if the email source is trusted or untrusted. It is helpful for viewing this information before even opening the email.
The scores are not always accurate, as I was getting "yellow" flagged warnings for internal company emails.
Malte R.
Financial Services, 501-1,000 employees
Used daily for 6-12 months
Review source
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I'm using Fraud.net now for 8 months and it is a very nice tool to detect fraud orders. I like the possibility to create rules - like the reject and review queues - which seem to work very well. Maybe it is possible to mark orders in another color, if they are connected to fraud orders. (I know that it is done already, but i have to click on the order first. I mean it would be nice if it would be marked on the "summary page")
At the moment we have the problem that Fraud.net matchs the Device ID sometimes with orders which are obviously not connected to the actual one. A second problem is that Fraud.net is case sensitive (im not 100 percent sure if it is already fixed): For example I need to write for login: Surname.Lastname@... or if I want to search a person by full name, Fraud.net needs PETER PAN instead of peter pan. An improvement suggestion (not sure if this is technical possible) would be: When I am working in a filter and click by mistake on an order, it would be great if I could use the "backward-sign" from the browser. At the moment that is not possible - I have to apply the filter again on the orders.
Markus D.
Financial Services, 201-500 employees
Used daily for 2+ years
Review source
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Fraud.net is embedded in our general Risk Processing for Ecommerce business and contributes significantly in covering fraud attacks to our business.
High Flexibility in rule definition Machine Learning functionality Dynamic improvements of the software Good support
Release Management could be improved User experience could also slightly improved
Meghna A.
Financial Services, 1,001-5,000 employees
Used daily for less than 6 months
Review source
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Great experience!!
Increase revenue and reduce fraud, affordably!!
More features can be added for email and phone. Overall, it's a great tool.
Lukas F.
Financial Services, 201-500 employees
Used daily for 2+ years
Review source
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Very good support. F.Net cares about feedback and the desire for customizations.
In addition to the real-time (AI-powered) fraud detection, there are options for case management and analytics (elastic search). I think it's good that this tool can display all the information for evaluating a case on one page (all information!). It is very good that a freely definable rule can be created from all possible data points.
Dealing with more than one seller from one cockpit (Rules, seller specifications, Additional data points).
Q. What type of pricing plans does Fraud.net offer?
Fraud.net has the following pricing plans:
Starting from: $0.02/month
Pricing model: Subscription
Free Trial: Available | (No Credit Card required)
Q. Who are the typical users of Fraud.net?
Fraud.net has the following typical customers:
Freelancers, Large Enterprises, Mid Size Business, Public Administrations, Small Business
Q. What languages does Fraud.net support?
Fraud.net supports the following languages:
English
Q. Does Fraud.net offer an API?
Yes, Fraud.net has an API available for use.
Q. What other apps does Fraud.net integrate with?
Fraud.net integrates with the following applications:
FullContact, DIRO, Plaid, Twilio
Q. What level of support does Fraud.net offer?
Fraud.net offers the following support options:
Email/Help Desk, Phone Support, FAQs/Forum, Knowledge Base, Chat