Fraud Prevention
DetectX-FD
Effective solution to prevent fraud
Fraud and market infringements can occur in various forms. The Prospero Predictive Analytics platform DetectX for detecting suspicious constellations includes not only rigid filters but also soft, adaptive methods based on pattern recognition. In the absence of known fraud cases, in addition to supervised learning, unsupervised procedures, special clustering, peer group and link analysis are used.
The automated optimization of filters and models allow for a continuous learning process, resulting in maximized recognition rates and minimized false detections. The recognitio models adapt in real time to changed behavior of fraudsters. The impact of new scenarios can be tested in the simulation module.
The integrated management of filter and models and the user friendly workflow for the alert investigation provide efficient and effective work in the compliance. DetectX-FD Fraud Prevention can be easily integrated into existing environments.

Key features
- Can be applied in various processes and business scenarios
- Early detection of fraud
- Maximized detection rates while minimizing false detection
- Real-time monitoring of large amounts of data
- Integrated feedback learning with in-memory technology for ongoing improvement of recognition quality
- Case Management and workflow for analysis, investigation and documentation of identified suspected fraud cases
Benefits
- Maximized detection rates while minimizing false detection
- Reduction of fraud and losses
- High process security
- Minimization of reputational risk