Fraud detection is evolving from reactive to proactive. In this session, we will demonstrate how Microsoft Fabric enables the implementation of Real-Time fraud detection solutions that leverage its powerful capabilities in streaming analytics, AI integration, and automated decision-making.

We will walk through the architecture of a fraud detection system that uses Microsoft Fabric Event Streams to ingest high-volume transaction data and apply KQL-based Real-Time analytics to identify suspicious patterns and anomalies. With Azure OpenAI and Copilot, we will show how AI models can be utilized to enhance fraud detection accuracy by scoring transactions and identifying complex fraud patterns.

Additionally, we will demonstrate how to trigger automated actions such as flagging transactions, alerting security teams, or blocking high-risk activities using Power Automate and Logic Apps. By the end of this session, you will understand how to design and deploy a scalable, end-to-end fraud detection pipeline on Microsoft Fabric, providing Real-Time insights while minimizing false positives and improving overall detection accuracy.