Fingerprint

One Fingerprint.
Every Surface.

A device ID, a browser cookie, an IP address — each one is easy to fake on its own. NonaShield ties identity to something that can't be: the device itself. The same model, live on mobile and on the web.

Mobile
Web
22
Details Combined Into One Identity
✓
Checked Every Session, Automatically
Built-In
Tied to the Device's Own Security Chip
0
Risky Permissions Required
One Identity Model, Two Surfaces

Mobile. Web.
One Identity.

Mobile

What You Can Verify.

  • This is a real, physical phone — not an emulator, a bot farm, or a script pretending to be one.
  • It's the same phone as last time — tied to the device itself, not to something an app can reset or fake.
  • The phone hasn't been tampered with — no signs of rooting, hacking tools, or unauthorised modification.
  • It's connecting the way it usually does — flagging when a trusted device suddenly shows up on an unfamiliar network.
  • One phone isn't posing as many — catching device farms trying to look like hundreds of separate customers.

What it requires: a small piece of code added to your app. No risky permissions, no extra steps for your users.

See How It Works →
Web

The Same Idea, for Browsers.

Built on the same principle as mobile — no single signal is trusted on its own. Works the same way on any browser, any device.

  • Recognize a returning visitor — even if they've cleared cookies or switched browsers.
  • See where a visitor is really connecting from — and flag traffic coming through a VPN or anonymising service instead.
  • Tell a person from a bot — separating genuine visitors from scripted or automated traffic.
  • Spot a tampered or hidden browser — including incognito/private mode and browsers altered to hide their tracks.
  • Get a confidence level, not a guess — every match comes with how sure we are, not a flat yes or no.
Ask About Web Fingerprint →
Where It's Used

One Fingerprint,
Many Fights.

Account Takeover Prevention

Recognize when a login is coming from a device that has never touched this account before.

Payment Fraud

Tie a transaction to the actual device making it, instead of a token that's easy to fake.

New Account / Synthetic Identity Fraud

Catch one device applying under many names before disbursal or approval, not after.

Bot & Automation Detection

Separate emulator farms and scripted traffic from real users, on-device and in-browser.

Returning-User Recognition

Recognize a genuine returning device without relying on cookies or app storage alone.

Ask About Fingerprint.

One SDK for mobile. The same identity model on the web.