Machine Learning for Fraud Prevention: What’s Next
Get a deep dive into how ML works and why it outperforms other approaches.
“With Sift Science, you can limit friction for good users. Sift queues up the right things to review and
uses our time effectively.”
- Robbie Fritts, Manager Payment Ops and Fraud
Digital goods merchants don't have the luxury of manual review. Our technology goes beyond device fingerprinting to provide holistic, accurate fraud predictions.
Whether you're selling e-gift cards, e-tickets, music, or digital games, you can save time and money by automating fraud management with Sift Science.
Stop fraudulent transactions and chargebacks before they happen – on desktop, mobile apps, and mobile browsers.
Deliver the simple, frictionless experience your customers expect – without increasing risk.
Save time by automatically blocking fraudsters at scale. No need to hire more staff or dedicate more resources to fraud prevention.
Our technology learns from the tetrabytes of data Sift Science processes from 12,000+ sites and apps across the world.
Our machine learning models recalculate risk scores every time a user takes action on your app, or on any app or website in our network.
Send data unique to your business, and your machine learning model will grow increasingly accurate and effective.
It's easy to set up automated fraud-management workflows that integrate with your backend systems.
Our solution is fully customizable to your data and fraud detection needs. Sift Science can learn from any data you send us.