SATARK.SEC.exe
SATARK GRAPHRISK: HIGH
HMAC identity linkage active
Production-minded build
National Winner1st PlaceINR 50,000
SATARK.SEC
Privacy-preserving fraud detection at network scale.
Built a fintech security platform that detects multi-hop money laundering patterns across 5,000+ transactions without ever exposing raw customer data. Uses HMAC-based identity linkage, graph neural networks, and anomaly detection to surface smurfing, velocity fraud, and laundering cycles.
Teams Beaten70+
States12
Duration36 hrs
Transactions5,000+
PythonFastAPIReactGraph NetworksHMACFederated Learning
