Request signals
Collect request, client and traffic context at the edge without relying on one isolated indicator.
Waffinnity evaluates automated traffic at the edge and adds dedicated protection around login, account and sensitive endpoints. Separate useful automation from abusive behaviour and respond according to risk.
Search engines, monitoring, AI crawlers, scripted clients and credential attacks can all look automated. Waffinnity combines signals and behaviour before applying policy.
Collect request, client and traffic context at the edge without relying on one isolated indicator.
Separate known crawlers and expected automation from unknown or suspicious automated behaviour.
Repeated failures, request velocity and sensitive endpoint activity add operational context to the decision.
Apply the appropriate action: allow, observe, rate-limit, verify or block according to policy and risk.
Login and account flows need different protection than ordinary content. Waffinnity correlates authentication failures and traffic patterns so credential attacks and automated login abuse become visible at the edge.
Distinguish expected crawlers, AI agents and other automation from suspicious clients.
Bring repeated failures and abnormal login behaviour into the same security context.
Use policy-driven controls instead of treating every automated request as an attack.
Operational events show the traffic context and action so teams can tune policy with evidence.
Establish a trusted request context at the Waffinnity edge.
Filter attack patterns and abusive traffic before application processing.
Evaluate automation and sensitive application flows with dedicated signals.
Only traffic allowed by the combined policy continues to the origin.
Add bot intelligence and account protection to the same edge that already protects your application traffic.