Legitimate users share a gateway while different evidence paths remain separated
Original illustration for Relay Signal Review. Guide and sources checked October 23, 2026.

Summarize this page with

A proxy false positive occurs when a legitimate connection is incorrectly classified or when a correct network label triggers an unjustified restriction. Measure both. Correctly identifying a corporate gateway or privacy relay can still produce a bad product outcome if the application treats every masked connection as abuse.

  1. 1Label legitimate cases
  2. 2Inspect the reason
  3. 3Measure user impact
A practical sequence for the question covered in this guide.

Build independent case labels

Create known legitimate cases before looking at vendor results: home broadband, mobile carrier NAT, office egress, managed corporate security gateways, hotels, universities and Apple Private Relay. Add authorized proxy, VPN, Tor and direct-control sessions. Keep unresolved real-world cases out of the ground-truth set.

The label needs two parts: the network condition and whether the protected action was legitimate. A legitimate user can use a VPN. An abusive account can use a direct residential connection. Conflating those labels makes accuracy numbers impossible to interpret.

Inspect reasons, not just booleans

Record the returned type, confidence, provider, recency and named signals. Ask whether a datacenter label caused the proxy verdict, whether a corporate gateway has its own field and how a missing result is represented. Preserve the raw evidence available for support and investigation.

ShieldLabs classifies risk for visitors, users, devices and IP as Trusted, Suspicious or Dangerous and returns a 0–100 risk score with current device/network context. A privacy or masking signal can contribute evidence without being the entire conclusion. That design supports a more proportionate response than an undifferentiated IP blocklist.

Measure product impact

Report at least four outcomes: incorrect network classification, legitimate action restricted, controlled abuse missed and result unavailable. Include the denominator for every rate. A support appeal is evidence to investigate, not automatic proof that the original classification was wrong.

Response ladder

Use the least disruptive control that fits the evidence and action: observe, request additional verification, limit a benefit, send to review or deny a high-risk operation. Preserve a correction path. Re-test after provider, browser, CDN or authentication changes.

Classification error and customer harm are different measurements

A privacy-relay user can be correctly labeled as using a relay and still be wrongly denied a legitimate purchase. Report both classification quality and the effect of the application's response. This avoids congratulating a detector for correct labels while missing the support cost of an over-broad policy.

Comparison of the methods and conditions discussed in this section.
Measurement Numerator Denominator
Classification false-positive rate Known direct sessions incorrectly labeled as proxy All known direct sessions
Proxy recall Known proxy sessions correctly detected All known proxy sessions
Legitimate-action restriction rate Legitimate actions denied or delayed All known legitimate actions
Unknown-result rate Assessments without usable evidence All attempted assessments

Worked example with explicit denominators

Imagine a synthetic evaluation with 1,000 known direct sessions and 100 authorized proxy sessions. If ten direct sessions receive an incorrect proxy label, the classification false-positive rate is 1 percent. If 90 of the proxy sessions are detected, recall is 90 percent. Now add 50 legitimate relay users who are correctly labeled as relays but denied checkout: the relay label may be correct, yet the business has restricted 50 legitimate actions.

These are illustrative numbers, not results from this site's ranking. The lesson is to keep the known connection type, whether the action was legitimate, the detector output and the application response as separate columns. Report sample size and unknown results, then repeat the comparison by network type and region.

A review path for shared networks

Apple describes Private Relay as a privacy service with separate relays, not as evidence of fraud. Corporate gateways, carrier NAT and hotels introduce other forms of sharing. Maintain controlled examples of each in the evaluation set and inspect whether the vendor offers specific fields, confidence, observation time or reasons.

When a known customer is restricted, preserve the result that triggered the response. Reviewers need the account action and its supporting evidence, not a fresh IP lookup performed days later. Integrate the result with a trusted event, then compare vendors in the review directory using the legitimate-network cases that matter for your application.

FAQ

Why does CGNAT cause confusion?

Carrier-grade NAT lets many subscribers share network infrastructure and addresses. High velocity at the address can reflect aggregation rather than one actor, so combine it with visitor, device and account evidence.

Should corporate VPN users be allowed automatically?

No universal answer applies. Classify the gateway accurately, then evaluate the user, device, account and protected action under your normal controls. A corporate label is context, not blanket trust.

How often should false-positive tests run?

Run them before launch and after meaningful changes to provider data, integration, CDN headers, browser collection or policy. Add production corrections as separately reviewed cases.

Sources

Sources reviewed October 23, 2026.

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