Overview:
A financial institution needed a robust solution to detect fraudulent transactions in real-time. Techseria implemented an Azure-based AI system that leveraged machine learning to identify suspicious patterns, reducing financial losses and improving security.
Solution:
- Data Engineering: Our team developed a pipeline that aggregates transaction data across different platforms into an Azure data lake.
- Machine Learning Model: We used Azure Machine Learning to create a fraud detection model that flags unusual activities based on historical transaction data.
- Real-Time Alert System: Integrated with Azure Event Hubs, the system sends real-time alerts to security teams, allowing rapid responses.
Results:
- 75% Reduction in Fraudulent Activity: The solution cut fraudulent activities by 75% through early detection.
- Improved Security: Real-time alerts improved response times, reducing financial losses significantly.
- Enhanced Customer Trust: With faster and more accurate fraud detection, customer trust in the institution’s security grew.