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Fraud · Advanced

Real-Time Fraud Detection Frameworks

How to design fraud detection that decides in milliseconds, combining rules, machine learning and case management.

Who should attend

Fraud strategy teams, risk engineers and architects at issuers, acquirers and real-time payment providers.

What you'll learn

  • Architecture of real-time fraud engines
  • Combining rules, scores and machine learning
  • Device, behavioral and velocity signals
  • Reducing false positives without raising losses
  • Alert triage, case management and chargebacks

Curriculum

  1. Day 1Fraud patterns, real-time architecture, rules and risk scoring
  2. Day 2Machine learning models, feedback loops, case management and measurement

Ready to train your team?

Request dates, curriculum details and a proposal for your cohort.