We are focused on the singularity of your business
E-commerceWe take all the heavy lifting off your plate: no more rules, much less manual review. You gain behavioural insights about users while false positives and chargebacks drop.
TravelNethone Guard was born in the travel sector so we know it inside and out. Never again pay for unnecessary chargebacks and suffer from the lost business due to false positives.
Digital lendingBy gathering over 5000 attributes of your every user we support risk management to segment your traffic. Then, you can decide who and on what terms can get a loan or not.
What value do we bring our clients?
We help you lower your rejection rates, manual review rates, and risk of fraud.
We do this without touching the UX of your service.
How do we prevent fraud?
We recognize hardware, expose network characteristics, and understand user behaviour.
In less than 1 second we uncover users’ motivations.
Exhaustive ‘here-and-now’ user profiling
We built a tool which extracts 5000+ attributes for every single of your users. We shed light on more than just declarative data. We exhaust the full context by detecting the lowest possible characteristics regarding the device, network, and behaviour.
Seamless data hub
The more data, the better. Therefore, we have built an API which can become your data analysis hub. You can plug-in any third party data sources you want or simply send more data about a given session for our models to learn from.
Thoroughly tested Machine Learning
We have spent years crunching all the gathered data to find automated ways of spotting non-obvious correlations and patterns. All this happens in less than 1 second to provide you with actionable insights specific for your industry.
Human ingenuity at your disposal
You’re never alone with Nethone Guard. From day one, you have a dedicated Data Scientist. This person will be responsible for the creation of the Machine Learning engines which will be preventing fraud for you.
Proven track record
Our technology and expertise helped clients improve their businesses
They already trusted us:
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.
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.
User’s activity session within the platform
In the Profiling Details view, you can see all the user’s activity (e.g. creating account or adding product to the cart) within one session. All their actions are gathered in a consecutive order on a timeline which we refer to as profiling. In the Profiling Details view, you can see all the user’s activity (e.g. creating account or adding product to the cart) within one session. All their actions are gathered in a consecutive order on a timeline which we refer to as profiling. On top of that, in this view we provide a summary of the signals and algorithms which were triggered by each transaction attempt.
View of fraudulent attempts, events, block and pass requests
When looking at a given inquiry the first thing you will see are the signals which were triggered. 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.
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.
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?
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.
Preference selection for a specific client
You can customise the graph by changing the depth of the displayed connections and by selecting which features you want to track.