An IP address is trivial to change: attackers rotate commercial VPNs, datacenter proxies, and residential-proxy networks so every request looks like a fresh, clean location. IP-based rules either block real users on shared IPs or wave attackers through on a rotated one. cside looks past the IP at the device: it draws on 250+ browser, device, and network signals, detects the VPN or residential-proxy use, and still recognises the underlying device across IP changes, incognito, and cleared cookies.
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.
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.
Which device fingerprinting tools work across incognito and cleared cookies?
Tools that survive cleared cookies fingerprint the device, not a stored ID. cside is cookieless and recognises returning devices across incognito and IP changes.