Omni-Channel Ingestion: The platform takes omni-data and Omni-channel view by ingesting every kind of data in our ecosystem, protecting the customers from the beginning of their transaction journeys to the end. To get a complete view of
every transaction, an organization needs a platform that can instantly ingest every kind of data, whether it’s coming from an internal system, like your Account Management System, or external data sources, like enrichers. Many sources,
one story: Transactional data<--->online session data—customer data----user device data—third party data.
Agility: The platform adapts to the organization as it scales and support custom models that are based on domain expertise of the fraud patterns specific to the industry. A platform with a flexible and agile architecture, developed by
data scientists with domain expertise in specific industries. Custom models that are built with domain expertise in fraud science, specifically for financial services, produce more power and more insight by taking into account the
unique fraud patterns that banking and payments face.
Explainable Logic: The platform has white-box AI that contains a human-readable semantic layer that explains its underlying logics and puts the human in control. For example, an explanation might say that the user has been declined
because there were four recent transactions in distant locations. The idea here is to put humans in control, by communicating clearly about why certain transactions were approved or declined and arming them with the information they
need to review customer account activity more intelligently.
Hyper-Granular Profiling: The platform detects anomalies by creating normal behaviour profiles for segments of many and reaches its decisions to create profiles of normal behaviour, and flag instances of abnormal behaviour. By creating
profiles of many different entities (the branch, the day of the week, the credit card), machine learning platforms can reach new levels of sensitivity, and detect fraud with greater power and accuracy.