Know Your Users to resolve fraud | Technology | Nethone
nethone fraud ocean hero background

Code and continuous integrations are essential to fraud prevention and business intelligence

We believe a solution to all your fraud-related problems lies in code and its constant development. All our machine learning models are based on comprehensive data gathered by our profiler, provided by our clients and relevant third-party data.

Of course, it’s not a finished process (as fraudsters never sleep) and we obsessively seek out improvements because we believe that fraud prevention can only be successful with:

Easy integration
Get running, profiling and collecting data within minutes. Send historical datasets for machine learning to our experts.
Iterative upgrades
Access the latest technologies, plugin 3rd party APIs at will or send historical datasets to power machine learning.
Strong documentation
Get full API documentation and so much more, from payment risk information to alternative strategies and tutorials.

How does our anti-fraud solution work?

The Nethone’s system works towards profiling the users on the merchant site, detecting fraudulent behaviour and providing business intelligence insights. We collect all data out there starting from merchant’s databases through user’s interactions within their website.

The said data needs to be sent to our proprietary machine learning algorithms, tailor-made by our data scientists. It is delivered through the Inquiry API, Events API, Transactions API and Profiling Solution.

Profiling Solution
Nethone also collects data about each user through the Profiler. The constant challenge is to come up with new ways to screen users’ interactions with the website or application in order to better understand them.
Inquiry API
Inquiry API is designed as the one to receive the request at the moment of critical action that is to be assessed and to return the recommendation for it. Risk assessment is a direct result of analysis made by AI models and algorithms set up for a given account.
Events API
Events API allows developers to post sample information about actions made by users. By collecting data on how users are interacting with your product, we can build even more effective AI models to detect fraud trans-actions and discern malicious from friendly fraudsters (or rather weeding out the friendly fraudsters from regular customers as they are quite similar to each other).
Transactions API
Transactions API is designed to mirror the transaction’s objects in the merchant and/or PSP system. It also allows passing on their status to the system giving feedback on what happened with them in the end (e.g. a refund or chargeback has been issued).

Panel - the way we visualize all of these data

Our panel also has a state of the art case manager for your fraud team. They can use it to automate their day-to-day activities to gain more time and information to tackle the most challenging cases that fall into manual reviews.

Dashboard

Aggregated traffic characteristics in a specified time frame

Let’s say you want to determine the traffic on your website in the context of fraud and payments.
The panel is the start of a comprehensive view of user profiles, visualization of data, and tracking of ML decisions based on signals and connections.

Nethone dashboard example

Inquiries with the context

User’s activity within the platform

In the Inquiries view, you can see all the user’s activity within one session gathered in a consecutive order on a timeline which we refer to as inquiries. e.g. creating an account or adding product to the cart. On top of that, in this view we provide a summary of the signals and algorithms which were triggered by each inquiry. Signals, in short, are notifications about abnormal situations which may be indicators of a higher probability of fraud. For example, you can see that clipboard was used on sensitive fields or incognito mode was detected. There are more than 100 of them and the list is growing.

Nethone profiling example

Additional data worth noting

List of user’s actions that trigger Nethone’s recommendation

Different symbols represent different inquiries within the same activity session of the user. For example, you can check what card was used and find out that it was different for both inquiries.

Nethone trigerred signals example

Comprehensible recommendations

No “black box” solution, only explainable AI

Together with the recommendation accept refuse review, we deliver a humanreadable explanation of the ML results in one place. We present features that have the most significant impact on recommendation (and contribute both, to the probability of fraud and contrary).

Nethone inquires example

Map

Interactive display of user’s activities and geolocalisation

The map view gives you in a quick glance all the geographic information you need about a given transaction attempt. Where did they buy from? What route did they buy? Where is the card from?

Nethone map example

Connection Graph

Analyze the web of relations in your merchant ecosystem

We are particularly proud of what we call the connection graph which shows the links between different profilings. All the nodes presented on the graph are related to each other by some feature. As you can notice these two profilings are connected by the same email address, user, IP address and cookie. This will put single profilings in context for you. You can check if the other profiling was detected as fraudulent or not and see how complex the whole network is.

Nethone connection graph example

Customisation

Preference selection for a specific client

You can customise your view by selecting which features you want to track and arrange them according to your personal preference. You may choose from quite a few widgets, including i.e. signals summary, card data or related profilings. We add new ones all the time!

Nethone customisation example

We offer a light integration

We can get up and running in less than 2 weeks for very agile clients. 2 months for large enterprises.

Integration in 5 simple steps:

1
Take-off
We discuss the whole process with you, provide you with our documentation, sign the contract and exchange the encryption keys
2
Integration
You are provided with an integration package with all the credentials. We integrate through the APIs.
3
Verification
We verify the data provided with us and check if we have everything that we’ll need to protect you in the coming days
4
Validation
We make sure that the integration process is done and everything works impeccably
5
Integration successful!
We protect you 24/7

Do you want to prevent fraud and increase sales? Let us help you!

We provide an anti-fraud payment solution for online business, allowing it to grow! Choose a date & time to speak to a member of our team to identify your problems and we’ll demonstrate how we can fix them.

... or leave your contact details so we can get back to you.

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Financed by: