Compare SEON vs Nethone

As both SEON and Nethone continue to grow in reputation, this article aims to help businesses looking to upgrade their fraud prevention product stack with more modern, innovative solutions. 

Disclaimer: Everything written about the companies mentioned in this article was gleaned from online research including user reviews. We did not have time to manually test all the tools. However, we ensured the information was correct as of Fall 2021. Feel free to contact us to request an update/correction.

About Nethone

Nethone is a machine learning-based fraud prevention Saas company that supports online merchants and financial institutions with online user profiling.

Founded in 2016, Nethone was created to “make the online space a safer, and more transparent place for all users” and was established within the Daftcode ecosystem that also features European payment solution Straal.

In June 2021, Nethone raised $6.7m in a Series A funding round to focus on its ‘Know Your Users’ mission.

Nethone Key Products

• Nethone’s proprietary product, dubbed ‘Profiler’, enriches data of every single user with over 5000 attributes in real-time with the result being presented via a decision engine. 
• The company uses machine learning to spot unusual / suspicious behaviour that is able to be modified to suit requirements of your industry while refining itself continuously.

Pros of Nethone

• The company has been created with engineers in mind so integration can be complete “within minutes” with no impact on user experience.
• Nethone allows for 3rd party API plugins so you are able to develop a multi-layered defence with other solutions available on the market.
• Signals offer human readable reasoning behind the decision made by their machine learning engine.

Cons of Nethone

• Although they pull together recommendations based on 5000+ data points, you might still need to enrich that data to have full context.
• Relying on a blackbox machine learning algorithm means you will have to deal with false positives.

SEON Vs Nethone Features Comparison Table

	SEON	Nethone
Data aggregation
IP Analysis	Yes	Yes
Email data enrichment	Yes	No
Phone data enrichment	Yes	No
Find user social media	Yes, checks 35+ platforms	No
Device Fingerprinting	Yes	Yes
BIN for transaction	Yes	Yes
Behavior tracking	Yes, via custom rules	Yes
User authentication	Yes	Yes
Risk analysis
Custom rules	Yes	Yes
Machine learning suggestions	Yes	Yes
Industry preset rules	Yes	Yes
Risk score	Yes	No
Integration / deployment
API calls	Yes	Yes
Modular APIs	Yes	Yes
Custom API fields	Yes	Yes
GUI	Yes	Yes
Chrome extension	Yes	No
Manual query	Yes	Yes
Graph visualization	No	Yes
Reporting	Yes	Yes
Team management	Yes	No
Integration with other tools	Yes	Yes
Pricing
Chargeback guarantee	No	No
Free integration	Yes	No
Free support	Yes	Yes
Free trial	Yes	No
Cost per month	Flexible tiered pricing based on API requests starting from €99.	N/A. Contact their sales team for more info.

Where SEON wins Over Nethone

• It’s AI looks to handle the majority of transactions without input from your risk team, although you are able to look into any particular decision and have some level of flexibility with input from their team. 
• The availability of connection graphs can help uncover more complex fraud schemes and provide a deeper understanding of where fraudsters are attacking.  

Where Nethone Wins Over SEON

• SEON works with a whitebox machine learning model that offers more customisation to your ruleset, enables more verification from your risk team and is easier to adapt decision processes.
• Our data enrichment gives you more real life context of a transaction by looking at your users social media presence (or lack thereof) and the risk scores are applied accordingly – not just at the signals captured during the user journey.

SEON vs Nethone Conclusion

G2 Grid® for Fraud Detection Software

Choose SEON if

You require more in depth user profiling with access to real-time data enrichment, phone + email analysis and device fingerprinting.

Choose Nethone if

You’re looking for a solution to bolt onto your current stack that will help reduce manual reviews.