We’re pleased to announce our newest update that extends our machine-learning toolkit.
Until now, we only used whitebox machine learning to determine unique fraud patterns. By adding blackbox to the mix, SEON can provide an alternative machine-learning solution to support fast decision-making.
By calculating a probability for transactions immediately, the blackbox score helps you build on valuable information as soon as you get it. It will provide a probability, rather than a state, which you can combine with other scoring rules to tweak SEON to your liking and find what works best for you and your business.
If you’re curious, we shared a detailed breakdown on how the blackbox model works its magic on our Knowledge Base.