Machine Learning for Fraud Prevention: What’s Next
Get a deep dive into how ML works and why it outperforms other approaches.
“Sift Science helps make it very accessible to fight fraud on a world-class level.”
- Nate Spanier, Director of Operations
Our machine learning scores users, not transactions, based on thousands of behavioral and identity signals. That means you get an accurate, nuanced view of who's sending money to whom, across all devices – mobile, desktop, and mobile web.
Stop fraudulent money transfers before they happen, across every channel your users do business on.
Accurate real-time decisions empower you to instantly approve same-day money transfers between legitimate users.
Leverage up-to-the-milisecond learnings about fraud patterns to hone your fraud prevention operations.
Easy-to-implement APIs and a cloud-hosted solution make for quick, easy, and accurate results.
Supplement your existing ID checks with risk-based authentication based on thousands of identity and behavioral signals.
Our machine learning models recalculate risk scores every time a user takes action on your site, or on any app or website in our network.
Our technology learns from the tetrabytes of data Sift Science processes from 12,000+ sites and apps across the world.
Send data unique to your remittance business, and your machine learning model will grow increasingly accurate and effective.
Our solution is fully customizable to your data and fraud detection needs. Sift Science can learn from any data you send us.