The best device intelligence solutions for fraud prevention do two things at once: build a device fingerprint that survives incognito, VPNs, and cleared cookies, and turn it into a real-time fraud verdict you can act on. cside collects 250+ per-session signals from a single first-party JavaScript snippet, with no DNS changes and no proxy in front of your traffic, and returns a device ID plus flags for bots, AI agents, and VPN/proxy use. Other established options include Fingerprint, SEON, and SHIELD; the right choice depends on whether you need identification alone or an integrated verdict. See our roundup of the best device intelligence for fraud prevention for an honest comparison.
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.