🛡️ Which fraud SaaS can you vibe code?

vs Forter

OpenFingerprint Gateway

An open-source, self-hosted API gateway that runs fingerprintjs/fingerprintjs-pro-like canvas, webgl, audio context, and tls fingerprinting with IP risk scoring via MaxMind and Spur.it, outputting an open, inspectable risk vector.

vs NoFraud

Custom Pre-Capture Fraud Rules Engine

Build an edge worker that combines MaxMind MinFraud, Sift, or Radar with Shopify Checkout Extensions to inject pass/review/fail signals into custom payment rules before capture.

vs Riskified

In-House ML Fraud Scoring Pipeline

Feed store checkout data into open-source ML models (e.g., XGBoost on AWS Fraud Detector / Sagemaker) to generate risk scores (0-100) and step-up auth flags, without taking on financial liability.

vs Sift

Local Device Telemetry & Shopify Risk Engine

A lightweight Shopify app that captures device telemetry (canvas fingerprinting, IP risk via MaxMind, proxy detection) and evaluates order risk using localized rule matrices before pushing recommendations into native Shopify Risk APIs.

vs Signifyd

In-House Rules & Entity Resolution Engine

A lightweight rules engine on top of Stripe Radar + AWS Rekognition thatFlags risky multi-account signups, reshippers, and friendly-fraud returners without paying an 80bps revenue tax.

vs Trustfull

Self-Hosted Device Fingerprint SDK

Instead of buying expensive mobile device risk APIs, build an open-source JS SDK that extracts clean device canvas, WebGL, battery, and WebRTC telemetry directly into an internal Postgres instance.