Project Overview
Continuously monitor user behavior and device data in real-time to detect potential fraud in digital banking sessions.
Layman's Explanation
Feedzai’s Digital Trust solution watches how users interact on a bank's app or website to catch suspicious activities. By tracking things like typing speed, device location, and unique movement patterns, it can detect if someone else might be trying to impersonate the real user.
Analogy
In finance, building trust with clients is like hiring security guards who recognize regular customers and monitor for unusual behavior. Feedzai’s Digital Trust acts as these security guards, identifying each user’s normal patterns to detect potential threats instantly.
Details
Feedzai’s Digital Trust solution employs a mix of biometric, behavioral, and device-based data to detect potential fraud in real-time across digital banking platforms. The system continuously assesses various data sources, such as keystrokes, mouse movement, network information, and device characteristics, to build a unique profile for each user. Advanced ML algorithms detect anomalies by comparing current behaviors with previous data, minimizing false positives and responding dynamically to new fraud patterns. The underlying infrastructure, based on Kubernetes, Prometheus, and Grafana, ensures scalability and low latency, managing tens of thousands of requests per second while delivering real-time fraud alerts to financial institutions. This proactive approach enables banks to mitigate risks early and provide tailored security measures without impacting the user experience.
