Fraud Prevention
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Intelligence built into your payment flow
With built-in support for device fingerprinting and manual reviews, you get precise real-time control over risk, directly from your dashboard.
Smarter authentication that adapts to risk
Our universal 3-D Secure provides flexible authentication across multiple payment services. Whether you choose our hosted checkout, hosted fields, or pass external 3DS data, Gr4vy adapts to your preferred flow while managing the complex nuances of 3DS protocols for you.
Support for Dynamic 3-D Secure allows you to force or skip 3DS based on anti-fraud scores, cart data, or custom metadata, striking the perfect balance between security and conversion, giving you the power to tailor authentication at every level of risk. Learn more>
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FAQ
Payment fraud prevention combines real-time detection tools, authentication methods, and data monitoring to stop fraudulent transactions before they are completed. Built-in features such as 3D-Secure and device fingerprinting add layers of security that protect both businesses and customers. Strong fraud prevention reduces chargebacks, lowers financial risk, and ensures a smoother checkout experience without unnecessary friction.
3-D Secure is an authentication protocol that adds an extra verification step during online card payments. It helps confirm the identity of the cardholder, making it harder for fraudsters to use stolen credentials. Dynamic 3D-Secure adapts based on risk signals, triggering additional checks only when needed. This keeps fraud levels low while maintaining a fast, user-friendly checkout for legitimate customers.
Fraud scoring assigns a risk level to each transaction based on factors such as device data, location, and historical patterns. Workflows can then act on these scores, automatically declining high-risk payments, routing them for manual review, or triggering extra authentication. By combining fraud scoring with third-party tools, businesses can make more accurate decisions and stop fraud without blocking valid customers.
Device fingerprinting analyzes information about the customer’s device, such as browser, operating system, and IP address, to create a unique identifier. This makes it easier to detect suspicious activity, like multiple accounts using the same device to attempt fraudulent purchases. When used alongside authentication tools and manual reviews, device fingerprinting adds another safeguard against evolving fraud tactics.