Cookie-based tracking breaks the moment a user clears cookies or opens a private window, so the tools that survive it fingerprint the device rather than store an ID in the browser. cside is cookieless by design: it draws on 250+ browser, device, and network signals to derive its identifier, so it recognises returning devices across incognito, cleared cookies, and IP changes.
How does cside handle browser-based fraud detection for fintech companies?
cside's Device Intelligence captures a baseline of 250+ browser, device, and network signals per session to build a privacy-preserving device identifier, with no cookies.
What is device intelligence and how does it prevent fraud?
Device intelligence analyses the browser, device, and network signals of every visitor to recognise the device behind a session and judge how risky it is.
Why do IP-based fraud rules fail against VPNs and proxies?
An IP is trivial to rotate. cside looks past the IP at the device itself, detecting VPN and residential-proxy use while still recognising the device.
What signals make a device fingerprint stable across sessions?
Stability comes from combining many independent, slow-to-change signals. cside weights 250+ attributes so the identifier survives cookie clearing and incognito.