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Watch a high-energy live demonstration where fraud detection meets real-time data streaming as Tom Scott, CEO of Streambased, investigates a simulated fraud attack unfolding on stage and stops it within minutes. Experience how to transform Kafka from a simple messaging system into a powerful first line of defense against fraud using nothing but a prompt and an AI assistant, with no producer or consumer changes and zero downtime required. Learn to detect red flags by identifying unusual spikes in client behavior, sample live Kafka streams based on targeted criteria, corroborate evidence across multiple streams to confirm fraud patterns, and generate actionable responses to mitigate attacks instantly. Discover how AI shifts the focus from system mechanics to data-driven decision-making, empowering teams to respond faster, smarter, and more confidently to threats. This session requires no prior Kafka experience and is designed for operators, analysts, and engineers who want to see practical applications of AI and streaming data working together for real-time threat detection and response.
