Finance AI

Real-Time Fraud & Anomaly Detection
Sub-100ms fraud scoring at the authorization edge.

Flags fraudulent transactions and account takeover attempts in the milliseconds between authorization request and response, combining rules, behavioral baselining, and graph-based ring detection.

In development

Key features

What's built in.

→Real-time scoring at the authorization edge
→Graph analysis for organized fraud rings and mule networks
→Adaptive thresholds by channel, merchant, and geography
→Full decision replay for dispute handling

Target impact

What this changes for your team.

→40-60% fewer false positives vs. rules-only systems
→20-35% better fraud catch rate
→Sub-100ms p99 decision latency at volume

Under the hood

Built for financial-grade scale.

Kafka Streams
Java / Spring Boot
PyTorch Geometric (GNN)
GCP Dataflow

Ideal for

Who this is built for.

Card issuers, payment processors, digital wallets, real-time payment rails.

Want this running inside your stack?

Pilot conversations, custom builds, and partnerships.

contact@sipnov.com