Can Kafka and AI stop a crime in real time? Watch this high-energy, live demo where we investigate a simulated fraud attack unfolding on stage — and stop it within minutes!
Armed with nothing but a prompt and an AI assistant, we’ll show how to transform Kafka from a simple messaging system into your first line of defense against fraud. No producer or consumer changes. No downtime. Just data-driven intelligence in action.
In this lightning talk, you’ll learn how to:
- Detect red flags by spotting unusual spikes in client behavior
- Sample live Kafka streams based on targeted criteria
- Corroborate evidence across multiple streams to confirm the fraud pattern
- Generate actionable responses to mitigate the attack instantly
You don’t need prior Kafka experience — this session is built for operators, analysts, and engineers who want to see how AI and streaming data can work together to stop threats fast.
Discover how AI shifts the focus from system mechanics to data-driven decision-making — empowering your team to respond faster, smarter, and more confidently.
Long time enthusiast of Kafka and all things data integration, Tom has more than 10yrs experience (5yrs+ Kafka) in innovative and efficient ways to store, query and move data. Tom is pioneering the Streaming Datalake at Streambased. An exciting new approach to raw and historical data management in your event streaming infrastructure.
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