Threat posture

Threat signals matter because blocking too little pollutes revenue systems, but blocking too much breaks acquisition quality.

This route compares blocked-request pressure, mitigation posture, and false-positive risk across the traffic lanes most likely to distort attribution and form quality.

Overview Rule lane Threat posture Verification Docs

healthy

Bot scraping

Signal: Unverified bot traffic with repeated page traversal and high-frequency route hits

Mitigation: Managed challenge + bot score threshold

Blocked requests: 94%

False-positive risk: Low

This lane is stable because bot scores and verified-bot allowances are both present in the policy logic.

watch

Paid traffic pollution

Signal: Burst clicks from low-trust infrastructure entering ad landing pages

Mitigation: Challenge on suspicious headers + rate limit on campaign routes

Blocked requests: 79%

False-positive risk: Medium

The shield helps, but paid landing flows still need tighter separation between trusted and low-trust request patterns.

critical

Lead form abuse

Signal: Rapid-fire POST bursts against intake routes

Mitigation: JS challenge + endpoint rate limit

Blocked requests: 61%

False-positive risk: High

Form abuse is the weakest lane because thresholds are too broad and can still let synthetic submissions consume ops time.

Depth

Bot protection is a revenue-system control, not just an edge-security toggle.

CF Bot Shield TF connects Cloudflare rules, Terraform ownership, request-quality telemetry, and GTM impact so teams can see where synthetic traffic is inflating analytics, degrading lead quality, and forcing manual cleanup.

GTM analyst lens

Protect funnel signal

Keeps ad clicks, pricing visits, trial signups, and form submissions readable by separating legitimate demand from synthetic sessions before they enter attribution and CRM systems.

Value architect lens

Reduce wasted spend

Turns bot pressure into a dollar and operations conversation: which campaigns are noisy, where review queues are polluted, and what controls should be automated first.

Technical buyer lens

Make policy auditable

Shows rule intent, affected lanes, Terraform modules, and verification claims together so WAF changes are repeatable instead of one-off dashboard edits.

Executive lens

Explain risk clearly

Frames bot management as buyer-facing reliability: cleaner analytics, safer forms, lower manual triage, and fewer false confidence signals in board reporting.

What these repos have in common

Every Kinetic Gain surface turns invisible operating drag into reusable decision evidence.

This repo follows the suite pattern: name the operating risk, map the owner and control plane, expose JSON and static proof, and make the system understandable to both commercial leaders and technical reviewers.