Product
Challenges:
Most solutions on the market analyze and counter specific types of fraud separately. Therefore, they can’t recognize activity, behavior, or patterns that happen in other systems. There is no single unified engine to be able to see the full picture. In addition, each system trains itself apart from the others and each module takes longer to train and adjust.
Solution
pre-trained modules:
Internal
Credit
Remote
Insider
Card
AML/CFT
key features:
- Aggregated data
- Intuitive integration
- One cloud
- Business process analysis w.ML
- Activity learning
- Connected modules
- Predict and prevent
- Instant adjustment
- Flexible system that allows users to set rules and scenarios and make all the necessary changes without involving IT-professionals
- Analytical core that independently adjusts client behavior patterns (self-learning)
- Analytical system that updates models and indicators based on gained experience, historical data, and customer activity, thus providing a constantly updated model
- Flexible system enables users to create their own forms at any time
- Unobstructed connection of new data sources for analysis through the UI
Research and Event Management Center:
- Interactive representation of fraudulent schemes and ongoing operations
- Full investigations cycle and ability to identify relationships between FI’s clients and their manipulations
- Analytical system that updates models and indicators based on gained experience, historical data, and customer activity, thus providing a constantly updated model
- Automatic identification of FI’s client organizations, its founders, executives, beneficiaries, and their relation to fraudulent schemes
- Tracking flow of funds on international cards and relationships of its owners to FI’s high-risk clients
- Ability to manage user experience and control productivity