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Fraud prevention and risk management for digital lending

When your product is money and you are selling online, you know that you will attract fraudsters. This is why the digital lending industry has become very adept at measuring risk. But risk measurement is expensive: credit bureaus, bank account scraping and other data providers cost money and kill conversion rates.

Improve your score-card
Unique data feed at your team's disposal
Thanks to Nethone's profiler we gather 5,000+ attributes about every user who lands on your page. Across a wide set of geographies we have observed that this unique “here-and-know” data is capable of improving the credit scoring and fraud prevention algorithms employed by our clients. In simpler terms, the chances of default of a customer running a virtual machine or using the latest Apple hardware are not the same. Give the power of more data to your data science teams!
Machine Learning for credit-scoring
For clients capable of providing credit bureau data to Nethone through our API, we are able to mix that data to that obtained with our profiler. Our team of data scientists will then use all the different defaults we have seen on the market to provide a recommendation to either accept or deny a transaction.
Get rid of unwanted users
You wouldn't allow someone wearing a mask to enter your branch, would you? Why do you allow that to happen on your site? Nethone will allow you to block people using: VPNs, proxies, virtual machines, emulating devices, spoofing user agents, associated with TOR network and over 50 other signals tied to fraud and criminal behaviour. All of this to ensure that your platform stays fraud-free while you operate.
Don't spend money on applications that you will reject anyways
In order to assess your customer's credit score, you are probably calling on various credit agencies. These calls are expensive, and in roughly 60% of the cases, you are rejecting the application for the loan! Nethone is able to sit as a first line of defense which uses only our profiler data to identify the users which you will reject after you make the other calls. Typically we able to flag roughly 20% of your traffic this way with 0% false positives!

Real stories of less fraud, less friction, and happier customers (higher revenue, too).

We've trusted Nethone Guard to prevent online fraud attempts that might cost us a large chunk of our business. Knowing their success with reduction of manual reviews - we knew they will support us in the credit scoring process.
Aleksander Widera
Aleksander Widera
CEO & Co-Founder
Nethone goes far ahead of the competition, not just because of its accuracy supported with AI tweaks, but also special care of their data scientist, all wrapped into an intuitive interface. We are getting very positive feedback from our analysts, stating that the tool helps a lot in frauds’ prevention.
Mateusz Ciechański
Mateusz Ciechański
Chief Operating and Risk Officer
Nethone has developed a solution that helps us minimise transaction risks when offering invoice financing to entrepreneurs and small enterprises. We look forward to the further enhancement of the service which will help us support our clients in running their business.
Łukasz Adamczyk
Łukasz Adamczyk
Product Development Expert at Innovation LAB
Highly accurate recommendations given by Nethone allowed us to significantly reduce the time invested in manual reviews. Insights from the dashboard are very useful in day-to-day operations and the panel itself can be easily used by remote employees.
Michał Pawlik
Michał Pawlik
Co-Founder and CEO

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