SEON Fraud Prevention Platform

My use cases for SEON Fraud Prevention involve working at a FinTech platform that was primarily B2C, focusing on the investor side of the business, where individuals are putting money on the platform to invest in real estate. I was using SEON Fraud Prevention in order to get some additional customer data on user accounts. Most of what I was using it for was if there was an action taken by a customer that was potentially suspicious; it would give me additional data on other factors about that user.

So maybe I was not sure if this was a legitimate user, and then I would go and pull up their SEON Fraud Prevention profile and see that there was no internet history beyond the previous two weeks, or that the IP address was located somewhere other than where they were located. If there were a bunch of red flags on the SEON Fraud Prevention profile, it would give me some additional data to say, 'Okay, maybe this is an account we don't want to service,' or, 'Maybe this is an account that we put into a certain state that essentially they still have the account, but they're a little more limited.' Versus maybe there was something that was potentially suspicious, but then when I looked at the SEON Fraud Prevention profile, I saw that they had this email address for a decade, that the IP address and where they were saying they were from were the same. It could help bolster my confidence that this was a false positive.

Concerning how SEON Fraud Prevention has helped my fraud detection efforts, I think it really increased my confidence. There were situations where there was a lot of gray area, and it helped me feel more secure in whatever the decision was because it gave more data and more evidence to support, 'Hey, this is the decision I think we should make here and here's why.' The other metric point I could probably speak to is that I do think it decreased a lot of the lag time in terms of making a decision because it was less back and forth with stakeholders. It was more being able to present to them, 'Hey, this user had a fraud score of X, whatever it is. We saw X, Y, and Z behaviors. Here's the reason why they had that fraud score.' It cut down a lot of that back and forth and noise, and I think from that perspective, it was super useful.

Regarding favorite features of SEON Fraud Prevention, I really appreciate that it gives a numerical value to the fraud score because then it is a single value that I can dig into further and see why that was the case. It helps boil down all the noise into one factor. The other thing that I would say goes hand-in-hand with it is that SEON Fraud Prevention made it really easy for us to programmatize and automate a lot of what we were previously doing on our own. For example, if a user reached a certain threshold of a fraud score, it would automatically put them into that status on our end that we wanted. It was called Review, but it would put them into that status without requiring us to manually look through workflows. It gave us a lot of data and peace of mind, as well as being fairly straightforward to use.

Regarding the machine learning algorithms, I used some of the machine learning rules in SEON Fraud Prevention. Some of them I think were just not really helpful, but there were others that I do think made a positive difference and were helpful to have.

I have used the Advanced Reporting tools in SEON Fraud Prevention. Basically, I would look at things like fraud score or data at the user level, and also just looking and seeing how many people are being put into which status over a certain period of time.

As for the multi-factor authentication, I would say it probably benefited security in some way. We had some other in-house solutions, and we had two-factor authentication for all of our systems, so I am not sure if that really made that big of a difference.

In terms of what I disliked about SEON Fraud Prevention, I will say that it did have a learning curve. As I alluded to in the previous section, there was a little bit of a learning curve in that I really appreciated that it offered a lot of customization and personalization to users, but I feel that some of that could have been a little more hidden, just to have the bare-bones features, the meat and potatoes, a little bit more visible and clean. Because it is such a powerful tool, I think when I first started using it, it was a little overwhelming. I would say there is some room for growth in terms of condensing the UI so that what the end-user needs to see is really first and foremost, and then if they need to add additional nuances and details, they can.

I used SEON Fraud Prevention for about a year.

I have no stability issues with SEON Fraud Prevention that I can recall.

In terms of scalability, I would say that SEON Fraud Prevention seemed very scalable with the breadth and depth of the functions and features. There was a lot of room for where I could really change things to suit my use case.

Regarding tech support, I remember that during onboarding, we talked to the implementation team, and there were probably a couple of instances where I needed some additional support, but I do not remember any specific details.

Regarding alternatives, that is a little bit tricky for me. The only thing I could really compare SEON Fraud Prevention to is that we had been doing a lot of this on our own. It was all in-house made, and it was not nearly as robust as the SEON Fraud Prevention solution. That is the only thing I can really compare it to, and it is not really quite an apples-to-apples comparison because, as I said, it was not as robust. That is why we had onboarded a product such as SEON Fraud Prevention, because we just did not have those tools.

About the initial deployment of SEON Fraud Prevention, from what I can remember, it seemed pretty easy. I do not remember a whole lot of difficulty or delays with our launch.

As for maintenance, I know that there were some tweaks and things that we definitely changed as we realized more and more what we wanted with SEON Fraud Prevention. But in terms of maintenance, I think it was pretty easy.

For an overall score for SEON Fraud Prevention, I would say probably about a nine. I think the only reason I am docking a point is that the UI overall can be a little bit difficult to navigate and parse out. If they were to boost that a little bit, I think there is potential for a ten score.

I used SEON Fraud Prevention for fraud prevention and detection. I did not use SEON's Real-time Risk Analysis extensively. When considering real-time risk analysis, I interpreted this to mean using it on a daily basis as a routine. SEON Fraud Prevention has a feature that provides real-time insights. I did not use the real-time aspect that much because we had our own tool for viewing real-time customers. However, with SEON Fraud Prevention at the same time, I could take an account, input it into SEON Fraud Prevention, check whatever I wanted, and then go back and do the actions I needed. SEON Fraud Prevention was not the only tool we were working with; it was a helpful addition to our workflow.

I am not certain if there is something specific about the machine learning algorithm in SEON Fraud Prevention, but if you mean machine learning in general, it was definitely valuable.

The machine learning algorithm in SEON Fraud Prevention was 100% useful, particularly when creating rules in SEON Fraud Prevention. I learned a great deal from it.

Regarding the reporting aspect, I used the advanced reporting tools in SEON Fraud Prevention and found them satisfactory. I could export everything and make reports on my own, which was very helpful. The only issue I encountered was when attempting to copy a specific account. If I did not make certain moves with my mouse and tried to copy everything and paste it elsewhere, it would place me inside the account instead, and I could not make the copy that I wanted. However, that was very minor and did not disrupt my work.

The exporting and reporting functionality in SEON Fraud Prevention was entirely satisfactory.

Regarding SEON Fraud Prevention's Multi-Factor Authentication, in every organization when logging into a tool, it asks for a professional email, provides a password, remembers it, and requires a different code each time. This is standard and nothing different from typical authentication methods.

Concerning SEON Fraud Prevention's user interface, I cannot recall anything specific to criticize. SEON Fraud Prevention is excellent because for fraud analysis and risk analysis, it has everything in one place and is extremely useful for daily work. With one quick glance, I have everything I need for multiple accounts, patterns, and more. I would not change anything about it. SEON Fraud Prevention is one of the platforms I have worked with that has everything in one place, and for fraud analysis work, this is everything.

I recall that SEON Fraud Prevention did not allow viewing transactions, and I was aware they were going to improve this feature because I read it on the platform that they were going to add transaction analysis. On the platform, I could only see accounts and several other things with Digital Fingerprint, but I could not see the transactions themselves. Adding transaction analysis could be a huge improvement. I believe they may have already added this feature, but I have not worked with it because I changed my job.

From a features perspective, apart from transaction analysis, there could be improvements in device identification. For example, SEON Fraud Prevention shows that a customer's device is an iPhone, but which iPhone model? With Samsung, for instance, it shows Samsung A56 for one customer and Samsung A57 for another, but it does not do this as effectively with iPhone devices. Perhaps this is not SEON Fraud Prevention's problem because iPhone devices have closed networks and cannot be easily identified. However, there may be a way to work around this, though I am uncertain if one exists.

I have been using SEON Fraud Prevention for exactly one year. At my current job, I am not working with SEON Fraud Prevention because we do not use it, unfortunately. My experience with SEON Fraud Prevention is recent; I changed jobs in June, so I used SEON Fraud Prevention until June, exactly for one year, because I was working in an iGaming company. Now I am not working in an iGaming company. As far as I know, most iGaming companies are using SEON Fraud Prevention. I believe SEON Fraud Prevention is going very well overall. My experience with SEON Fraud Prevention was very positive. I found the experience engaging, and what I loved about SEON Fraud Prevention is that it had everything in one place.

Regarding stability with SEON Fraud Prevention, as far as I remember, there is nothing too serious. There may have been maintenance for an hour or so, which is usual for every tool, so it is nothing too serious. There may have been some disconnects from time to time, but this happens everywhere.

Regarding the scalability aspect in SEON Fraud Prevention, there are some limitations. One limitation was that I could not see the transactions, so if considering this aspect, there are limitations in that regard. If discussing growing with SEON Fraud Prevention and needing to understand certain information, there were many unfamiliar terms, and I needed to search for them to understand what they mean and compare them together. Not everyone knows what a Digital Fingerprint tool is or understands all the metadata information it provides. Without reading about these concepts, one cannot know them.

Regarding technical support for SEON Fraud Prevention, I have not escalated any questions directly. I remember my senior team members did escalate questions, and SEON Fraud Prevention responded in a good and timely manner.

I have experience working with other fraud prevention systems apart from SEON Fraud Prevention, but nothing as well-known; most of them are internal tools from each company.

When it comes to the initial setup process for SEON Fraud Prevention, it took me one week to get used to it. This depends on each person and individual; for me, it was acceptable. It took one week working on SEON Fraud Prevention to learn everything, and after that, I understood it. The setup is almost straightforward.

Regarding the setup of SEON Fraud Prevention, a senior team member showed me the tool, of course. After that, someone needs to show you the first steps you need to take in any tool. After that, you need to explore it by yourself as well; this is common across all platforms, not only SEON Fraud Prevention.

Regarding the pricing of SEON Fraud Prevention, I do not know about the pricing, setup cost, or licensing details. I have not worked with any other Digital Fingerprint tools, and SEON Fraud Prevention is definitely worth it.

I have no knowledge about the procurement aspect; I do not know if we purchased directly through SEON Fraud Prevention or through local channels.

My recommendation to others reading reviews on PeerSpot is to go ahead with SEON Fraud Prevention; it is very good and trustworthy. I would rate it at 90% or higher. I could find what I was looking for, specifically the fraudsters I was investigating, so I would recommend trying it. I would rate SEON Fraud Prevention a 9 out of 10.