Three things separate a strong platform here from a weak one: it identifies the device (not just an IP or a logged-in identity), it works without cookies so it survives incognito and rotated IPs, and it produces device evidence you can attach to a transaction dispute. cside does all three, reading 250+ per-session signals to flag card testing, account takeover, and chargeback abuse, and capturing the prior-transaction device linkage Visa Compelling Evidence 3.0 rewards. It ships as one first-party script, no DNS change and no traffic routing, and the same script covers PCI DSS 4.0.1 script monitoring (6.4.3 and 11.6.1), so processors run fraud and compliance from a single integration.
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.