BioCatch vs Featurespace ARIC Fraud Hub comparison

"The best features of BioCatch include analyzing how users interact and creating unique profiles for each user, which is what I appreciate most."

"It can track mouse movements as well as the actual oriental moments of such as the movement of devices, how they are held, and the angles which at they are held. All these are captured for customers and a behavioral profile is built for the customer over a period of time. This would be matched against any fraudulent behavior. If, for example, suddenly a customer account seems to be accessed by our profile, which is not one particular customer account, if the movements or habits are suspect, we can catch the fraud and shut it down."

"The most valuable feature is its zero degradation model. You don't have to train the model every three to six months, and it automatically functions."

"We experienced some stability issues including API latency, SDK initialization failures, and session ID correlation."

"BioCatch is one of the fraud detection tools which also has machine learning capabilities and it has what is called a machine learning model feature. It is run in the background. The consequence of those machine models is it is complex to perform data functions and the activity and programming techniques. The decision-making for determining what's happening within those models is a little bit complex and not at all transparent. It's not easy for businesses to understand how the model is using the data of the bank customers in order to come to the assumption it does."

"The rule-writing language could be improved to make it more understandable."

"The pricing is reasonable. It is not cheap, but it is fair."