Deep learning about your DG&S users from just a bit of given information
When you sell a digital product — online subscriptions, game codes, eBooks, gift cards, digital currencies — you can expect to be favorited on the fraudsters’ playlist.
Why do fraudsters prefer to target DG&S companies?
The Nethone Guard fraud prevention solution: 4 Pillar Protection (Profiler, ML, API, & human experts)
Nethone Profiler: verify your users even when given little data from the checkout form
Less friction, more security, more revenue
The basic checkout form is the common way to complete an online transaction. But forms cause friction and are often a reason for cart abandonment. Shortening the form as much as possible is required to keep conversions — we make that possible!Gathering clues in an instant
Nethone Profiler gathers 5,000+ attributes about every customer to see if they are attempting to anonymize their actions, conceal their true location, or use automation tools to deceive your business. Profiler also observes raw behaviour associated with keystrokes, mouse and accelerometer to inform you whether your customer is real or a fraudster.
Benefits of using Machine Learning
Merging contexts and quick adaptation
Reviewing 5,000 attributes about every user in real time is impossible for a human, but it’s perfectly suited for a Machine Learning model. ML releases the full data potential by merging contexts, automates decision making by providing actionable recommendations in plain language to your risk team, and adapts to constant changes in user traffic and fraud methods.Minimize false positives
If you are still using basic heuristics and manual rules sets, you’ve taken an important first step. Heuristics can be effective in the short term, but they generate false positives over the long term. Since fraud changes all the time, it’s necessary to use decisioning techniques which adapt quickly.
An API that becomes a true fraud prevention data hub
- What Nethone has learned about online fraud over the years and what Profiler is seeing in real time;
- Fraud attempts that your company has already encountered;
- External data sources from 3rd party partners who specialize in online fraud.
The fourth pillar: human support for the Machine Learning models
Personalized Machine Learning
Our clients are assigned a dedicated Data Scientist who understands your KPIs and shares actionable insights about your business.Our Data Scientist provides personalised service, so that you are never stuck waiting for Customer Support.
The power of partnership
Our Data Scientist cooperates with your risk analysts to find new fraud patterns affecting your business. Machine Learning models will be tuned to respond to new patterns of activity.Related Resources
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.
Value delivered: fraud detection for a crypto exchange and an online game store
They entrusted us to guard their transactions and we delivered. See what others say about our solution.
Konrad Howard
Co-Founder, Chief Product Officer
Piotr Bień
Chief Operating Officer of Litpay Group
Przemysław Kowalczyk
Co-founder
Jakub Wierzcholski
CEO
Piotr Ciechowicz
Product Owner
Iwona Gontarska
Product Owner
Zofia Olkowicz
Project Manager