Nethone is a Know Your Users (KYU) company that allows online merchants to holistically understand their end-users and prevent them from online fraud. By using cutting edge Machine Learning technology Nethone is able to detect and prevent card not present fraud, including protection against account takeover.
Fraud Solution Profile
Nethone specializes in cyber-security with focus on preventing fraud in remote channels, e.g. payments with credit and debit cards or when it is related to identity or account takeover. While staying focused on the singularity of the client’s business, Nethone can help to lower clients’ rejection rates, costs of manual review, and risk of fraud, without touching the UX of your service. Automatically and in real‑time.
Nethone makes a significant change, through:
- providing online merchants with a broad subset of structured data to determine online fraud risks
- precise user profiling provided by ML instead of static rules, which generated too many false positives, causing businesses to forfeit billions of dollars every year
- focusing on frictionless transaction flow, as e‑commerce continues to grow and users demand better UX
- creating a tool to mitigate sophisticated fraudulent attacks, which nominal level will continuously grow
How does Nethone anti-fraud solution work?
Nethone combines exhaustive user profiling which extracts 5000+ for every user, flexible API that is able to receive custom product/integration data from the merchants and integrates with partners who provide additional data enrichment.
Nethone decision engine is a hybrid solution that enables ML models to be combined with more static logic. Nethone is the author of its whole modelling stack which enables to constantly improve algorithms and continually adapt the decisioning setup to the clients’ needs.
An important part of Nethone value is the direct relation of the Data Scientist with the client. Dedicated Data Scientist takes care of tying merchant’s KPIs directly to the decision engine logic.
Nethone technology is known for its:
- Easy integration
Get up and running in less than 2 weeks for very agile clients. 2 months for large enterprises.
- 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.