Sentinel offers solutions created for fraud and money laundering detection and prevention in banks, which include the best practices recommended by the international regulatory agencies.
We offer multiple technologies focused on fraud prevention and detection, like predictive models based on machine learning (deep learning, neuronal networks, decision trees, support vector machines, for example) link analysis, geolocation, rule-based models, dynamic behavior patterns, among others.
The implementation and commissioning is performed using our methodology, thus obtaining optimal time depending on the size of the institution. The system operation is designed to be performed by end users.
Sentinel has a modular design, making it possible to adapt the solution to the specific challenges and budget of the organization.