Reach an 80% success rate for preventing fraud in the global market.
Save up to 15 minutes of review time.
Up to 10% higher conversion by reducing false positives.
Receive clear, transparent decisions in less than 1s.
SEON collects relevant transaction, device and customer information based on your industry’s specific needs.
Our system aggregates external data from IP addresses, phone number, whois databases and social media sources for a 360° picture based on over 3000 metrics.
Combining the power of machine-learning with human intelligence, SEON delivers dynamic fraud scores to help you mitigate risk in real time.
SEON offers transparent results in less than 1 second. It delivers a clear decision tree and whitebox results so you can maintain complete control.
Follow our blog for the latest insights and trends in online fraud, data science and machine learning.
Looking at Forbes’ list of the Top 10 Machine Learning Use Cases, you’ll find industries that won’t surprise you.
In 2017, fake online hotel booking scams reportedly cost consumers nearly $4 Billion. More than a drain on users, these losses impact the margins of hotels themselves.
With cybercrimes estimated to cost companies $2 Trillion by 2019, the question isn’t if you should implement a fraud prevention strategy.