The Challenge
In 2020, our client was upgrading their internal fraud prevention processes and software involved in those processes as well. In the past several years, our client has substantially expanded their operations and the portfolio of digital services they provide to the customers. Our client urgently needed an upgrade to their fraud prevention systems to fit this new reality.
The main objective was to combine data streams from 7 different sources and make a comprehensive analysis of customer behavior across all of those 7 channels in real time.
Solution We Offered
We offered a StrongHold Fraud Prevention Platform solution, which is perfectly suited for this job. Flexible REST and C/Java APIs allow integrating StrongHold with a variety of systems – directly with card processing switches via standard ISO8583 interface, with enterprise back office systems via C/Java APIs, or with modern web services via REST API.
In this project, we use a mix of APIs to connect different data sources from all the categories mentioned above. Thus we define comprehensive scenarios to detect non-typical customer behavior across multiple service channels. For example, we’re using StrongHold to track and compare how the customer is using the digital banking app (where does the customer log in from, the pattern of payments, etc.) and their payment card (which merchants the customer frequently visits, where the card is most often used, etc.) to detect potential fraud.
Thanks to flexible system configuration, we’re able to detect any anomalies in the customer’s behavior that might signal the customer’s account or card has been compromised and act accordingly before the money leaves the customer’s account.
The Results
- Successfully achieved 20ms/request processing time benchmark
- Successfully processing up to 1,500 TPS at peak times
- 7 datasources connected (front + back office)
