Residential proxies gave bots a million clean addresses.
Fingerprinting takes the advantage back: the automation stack underneath stays recognizable, no matter which IP it borrows today.
Modern bots switch IPs per request, cycling through proxy pools that include real residential addresses.
When bot traffic arrives from home ISP ranges, naive IP blocking either misses it — or worse, starts blocking real users.
Headless browsers copy real user agents. The UA string lies; the environment underneath doesn't.
The JavaScript layer collects browser and device characteristics that automation frameworks struggle to fake consistently, and compiles them into a risk score.
Fingerprint evidence joins IP reputation, ASN and infrastructure checks in a single composite verdict — no signal acts alone, which is how false positives stay out.
The same automation seen behind IP #1 is recognized behind IP #10,000. Proxy budgets stop buying invisibility.
Risk scores and verdicts appear in your live traffic logs per request — you can audit exactly why something was flagged.
It combines observable browser and device characteristics into an identifier that stays stable even when the visitor's IP address changes — which is exactly how rotating-proxy bots try to hide.
Bots rotate through thousands of proxy IPs, but their automation stack keeps the same fingerprint. IP-only blocking plays whack-a-mole; fingerprinting recognizes the mole.
Signals are used for bot classification only — no ad tracking, no profiling, no data resale. Cross-client intelligence shares anonymized reputation scores, never visitor identity.
Fingerprinting is part of the standard integration and can be activated per domain from your custom rules. Verdicts and risk scores appear in your live traffic logs.
Turn on fingerprinting and watch rotating bots collapse into one identity.
Free tier included.