The presentation discusses the development of an open-source fraud risk management system center of excellence that benefits fintech, central banks, governments, merchants, and users. The system uses a semi-attached model and leverages data preparation, transaction evaluation, and topology to detect and prevent fraud.
- The presentation discusses the development of an open-source fraud risk management system center of excellence
- The system benefits fintech, central banks, governments, merchants, and users
- The system uses a semi-attached model
- Data preparation is crucial for making good decisions
- Transaction evaluation and topology are used to detect and prevent fraud
- The system sends information into a JSON file which can be used in a case management system
- The system works with regulators to investigate fraud
- A scenario is presented to illustrate how the system can detect a scam