Real-time fraud detection in Java: Kafka Streams plus vector similarity, explained
blaizedsouza · x · 2026-10-09
- Ricardo Mello's tutorial (based on a DevNexus 2026 talk) explains how banks decide in milliseconds whether a payment is fraudulent, using Java, Apache Kafka, Kafka Streams, and MongoDB vector similarity.
- The validation pipeline has two layers:
- Guardrails: rule-based checks that instantly catch obvious patterns like impossible travel or unusual transaction velocity.
- Vector Scoring: AI-powered similarity matching against known patterns for subtler behavioral fraud.
- A decision layer routes transactions to approvedtransactions or suspicioustransactions collections for review or blocking.
More from coding & agent
- Baton: open-source HTTP relay that lets any two AI agents talk, with signed transcripts — seanmcdonaldxyz · 2026-10-09
- Dev builds Baton, an open-source relay giving multiple AI agents shared chat rooms — seanmcdonaldxyz · 2026-10-09
- Meta paper introduces 'agent plasticity': measuring self-improving agent gains per dollar spent on learning — omarsar0 · 2026-10-09
- Claude drives AutoCAD via script, drafting a 524-element two-floor house in 88.6 seconds — natesiggard · 2026-10-09
- Google's Antigravity now supports Claude, billed by consumption via Gemini Enterprise — rseroter · 2026-10-09
- Open experiments: swapping the system prompt swings coding agent scores by 10% — yb2698 · 2026-10-09