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.

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.

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

It's been a great experience to utilize Fraud.net's offerings. It's a lot more than just a portal to "approve" or "cancel" transactions, as we soon found out. Within a few months, the fraud.net team showed us things we never thought were even correlated as it relates to how to spot both good and bad users. We were then able to take that data and make adjustments to some of our business practices. As a result, we are approving more good orders and getting less chargebacks. Win-win.

We migrated from another provider and at first it was frustrating to relearn a new product that had different (and ultimately better) capabilties, especially for an organization-wide transition. We were looking at it from a 'rules-based' solution, instead of a comprehensive fraud solution, so we had to change our mindset. Glad we did.

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).