Bot detection answers "is this automated?"; device intelligence answers "what device is this, and is it linked to abuse?". Device intelligence is the broader layer: the same engine that draws on 250+ browser, device, and network signals to spot bots also links devices across accounts for account takeover, multi-accounting, and chargebacks. In cside, bot and AI-agent detection are built on the device-intelligence engine, not a separate product.
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.