The rapid advances in digitalization have also made incidences of fraud more prevalent. Fraud has become pervasive across business domains and is challenging organizations to be more imaginative & proactive in tackling sophisticated and organized forms of fraud.
Our approach focuses on automation by combining traditional rule-based methods, application of AI techniques and network data science.
With a skilled talent pool in leading Fraud Intelligence technologies and Graph platforms, we have delivered Fraud Intelligence solutions for customers across geographies
Fraud Detection & Investigation
Using hybrid detection techniques to identify, visualize and manage suspicious transactions.
Use graph data science to identify collusion fraud based on entity relationships
Rule-based Fraud Detection
Automate the detection of suspicious events based on pre-defined business rules
Typically, raw data cannot be used directly in predictive modelling projects like classification
Consumers are increasingly seeking seamless digital experiences, particularly given that many of our
The traditional property and casualty insurance business model has resisted change for a