Traffic integrity

Where is synthetic or low-trust traffic still slipping far enough to distort attribution and consume real ops time?

CF Bot Shield TF keeps WAF rule posture, blocked-request quality, and Terraform module coverage on one control plane so Growth and platform teams can tune protection without trading away commercial signal.

4Modeled Cloudflare rules governing edge protection and traffic filtering.
2Rules already protecting acquisition flows without visible drift.
1Traffic lanes still driving material request-quality risk.
78%Average blocked-request percentage across the modeled threat set.
3Terraform modules currently shaping the shield posture.
01

Rule posture

Make edge rule intent, affected lane, and commercial impact explicit so traffic-integrity tuning is visible before synthetic requests become attribution debt.

healthy

Known automation fingerprint challenge

Affected lane: Bot scraping

Action: managed_challenge

Purpose: Challenge suspicious automation before analytics or form handlers ever see it.

Verified bots stay intact while commodity automation gets challenged at the edge instead of leaking into revenue systems.

healthy

Aggressive pricing page rate limit

Affected lane: Pricing reconnaissance

Action: rate_limit

Purpose: Throttle repetitive pricing hits that often indicate scraping or competitor reconnaissance.

High-frequency pricing traffic is contained before it consumes analytics budget or leaks commercial detail.

watch

Suspicious ASN blocklist

Affected lane: Synthetic sessions

Action: block

Purpose: Block abusive infrastructure known for synthetic traffic and credential abuse.

This catches noisy infrastructure, but the allowlist discipline has to stay sharp to avoid clipping legitimate scanners.

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.