Harness the power of your data to reduce fraud
and increase payment acceptance
Tailor-made fraud protection
Detect and stop fraud faster with clear
Adaptive solutions for emerging threats
Defend against ATO, promo abuse and seller
Optimize conversion with agnostic
Manage PSD2 and take control of
Online payment fraud
Understand chargebacks, fees &
Machine learning for fraud detection
Models, risk scores & thresholds
Link analysis & graph networks
Draw deeper insights from data
Account takeover fraud
Prevention strategies & reputational
Uncover & stop hidden costs
PSD2 & SCA
3D Secure, TRA & exemptions
Global payment regulation map 2022
Track PSD2 & more with a full report
Deep dives on fraud & payments topics
The latest fraud & payments updates
API & developer docs
APIs, glossary, guides, libraries and SDKs
Discover the story about Ravelin
Join our dynamic team
Read more about our happy customers
Join our partner programme
Harness the power of your data to reduce fraud and increase payment
Detect and stop fraud faster with clear insights
Defend against ATO, promo abuse and seller fraud
Optimize conversion with agnostic authentication
Manage PSD2 and take control of authentication
Understand chargebacks, fees & detection
Prevention strategies & reputational risk
Uncover & stop hidden abuse
Read more about our happy custmomers
Account takeover (ATO) is when a fraudster gains control of a genuine customer account. It causes financial losses, erodes brand value and damages customer loyalty.
Your customized machine learning model is built on your business data for greater accuracy.
Automatically block suspicious logins using machine learning and our breached credential database.
Empower analysts to review orders, devices and successful logins linked to ATO and block further logins.
Help customers keep their accounts to minimize customer churn and protect your brand.
Promotion abuse is when customers unfairly take advantage of your offers. This creates hidden losses for your business, weakens product value and damages the brand image.
Limit single customer or linked network promo usage to prevent losses through referral abuse and sign-up rewards abuse.
Draw insights on how customers use different promotions, hidden losses and impact on customer value and churn.
Enable your team to label promo abusers through manual reviews to stop sophisticated abusers and fraudsters.