How does Scala support real-time fraud detection architectures?

Scala supports fraud detection using streaming pipelines, ML models, and event-driven processing.

Fraud detection systems in Scala typically use Kafka for event ingestion, Akka Streams or Spark Streaming for processing, and MLlib or external ML services for scoring. Real-time decisioning requires low-latency pipelines with backpressure control. Feature extraction is performed on streaming data, and anomaly detection models classify transactions in milliseconds.