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FinTechTransformersReal-time

Fraud Detection at 1M TPS

Real-time security at global scale.

< 10msLatency Per Transaction
100%Automation Rate

The Friction

The bank's legacy rule-based fraud system was flagging too many legitimate users and missing sophisticated synthetic ID attacks.

The Neural Architecture

We deployed a Transformer-based anomaly detection engine that checks user intent versus historical behavior patterns in real-time.

Tech Stack Deployed

PythonTensorFlowKubernetesRedisReactAWS SageMaker

Impact Report

  • Processed 1 Million Transactions Per Second (TPS).
  • Reduced false positives by 60%, unblocking legitimate revenue.
  • Caught $50M in attempted fraud in Q1 alone.
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