Radar does a lot. It blocks known card patterns, velocity abuse, and rules-based anomalies. But there is a category of fraud it structurally cannot catch: the kind where the threat actor's device stays constant while everything else changes.

When a fraudster resets their card, Radar sees a new payment method. When they create a new account, Radar sees a fresh identity. When they rotate through a residential VPN, Radar sees a different IP. Fingerprint sees the same device every time.

Fingerprint's device identity is derived from dozens of browser and hardware signals. The result is a stable visitor ID that persists for months or years, regardless of cookies, IP addresses, or card numbers. It is the signal Radar does not have and cannot derive from transaction data alone.

The integration is lightweight. You add Fingerprint to your checkout page, pass the visitor ID into your Stripe charge metadata, and check it in your Radar webhook. Three steps. The whole thing ships in an afternoon.

We have a 30-minute session where we walk through exactly how this works with Stripe's stack, including how to use the signal with Sigma queries and how to tune Radar rules around it. Happy to show you what device-level conviction looks like in practice.

Fingerprint, Inc.  ·  Unsubscribe