Real-Time Fraud Detection with Imply, AWS, and Confluent

Available On-Demand

Discover how Confluent’s Data Streaming Platform, Imply’s real-time analytics platform, and Amazon Athena’s query engine enhance fraud detection accuracy and speed. This session will demonstrate how real-time data processing enhances threat identification, improves accuracy, and increases operational efficiency.

By adopting a shift-left approach - moving data processing and governance upstream - organizations can integrate and implement these technologies earlier in the development cycle to build a scalable and more proactive fraud detection framework fueled by high-quality, reusable data products that open more use cases for the entire business. Learn how leading companies implement real-time data processing and analytics to enhance fraud detection at scale.

Highlights:

• Shift-left processing and governance to power fraud models with high-quality, real-time data products built earlier in the development cycle.
• Identify anomalies faster with data streams analyzed with Imply’s fully managed service for Apache® Druid.
• Improve accuracy and efficiency with Amazon Athena for deep fraud analysis.
• Detect threats as they occur in real-time by merging analytics with fraud insights.

CTA:

• Try Confluent on AWS Marketplace for free
• Download the Financial Services Solution Brief