Fingerprint for Financial Services

Every device verified.
Every synthetic identity exposed.

Device intelligence for financial services fraud prevention. Stop synthetic identity, BNPL fraud, and account takeover at the device level.

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99.5%+
ID Accuracy
10×
Signal Persistence vs. Cookies
200+
Fintechs Deployed
Why Now

The $20B synthetic identity gap in your fraud stack.

Financial services lost an estimated $20B to synthetic identity fraud in 2023 alone. Traditional controls — KYC document checks, credit file queries, device cookies — were not designed to catch identities assembled from real data fragments. Fraudsters pass initial verification, build credit history over 12 to 18 months, and default at scale before your models surface them. The missing signal is the device. Persistent device intelligence correlates applications, logins, and fraud events across your platform in ways that IP addresses and cookie-based tracking cannot. Fingerprint's device signals persist for months or years — 10 times longer than a browser cookie — and survive VPN changes, incognito mode, and device resets.

Four Core Capabilities

Device intelligence built for financial services.

Persistent Device ID
Stable across sessions, VPNs, and cookie clears
A single device identifier that persists across browser changes, incognito sessions, and network switching. Months of signal history in a single API call.
Synthetic ID Detection
Cross-reference device signals across applications
Surface the same physical device appearing across multiple loan applications or identity registrations. The pattern that passes KYC but fails the device check.
BNPL Fraud Prevention
Block serial BNPL abusers before first payment
Detect whether a new account's device has been seen before in your platform or across the network. Stop the first-payment default before it happens.
Account Takeover Shield
Real-time device risk score at every login
Score each login session against known-bad device signals. Flag credential stuffing attacks at the device level rather than the IP or session level.
"It acts as fraud detector and a trust enabler. Fingerprint gives us a persistent signal we can act on across the full customer lifecycle."
Andreas Zodhiates, Head of Payment Fraud, Booking.com
The Math

Three numbers that make the case.

10×
Fingerprint signals persist for months versus the 7-day window of a typical browser cookie. One persistent ID correlates months of application, login, and fraud activity.
99.5%
Visitor ID accuracy across 100+ browser and device signals. The highest precision identification layer you can add to your existing decisioning engine.
<0.1%
False positive rate. Device intelligence adds a high-confidence risk layer without blocking good customers or generating compliance-sensitive friction at scale.

Add device-level truth to your fraud stack.

30-minute technical call with a fraud specialist. No commitment required.

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