Can organizations rely on country-level geolocation alone?
Country-level geolocation remains useful, but it should not be treated as a complete solution. Modern anonymization services allow users to appear in approved countries while operating elsewhere, making additional infrastructure context increasingly important.
Similar questions
How can organizations use Spur IP intelligence within a fraud decisioning workflow?
Many organizations incorporate Spur IP intelligence into risk-scoring models, adaptive authentication systems, transaction reviews, account creation workflows, and trust-and-safety investigations. Spur IP intelligence is most effective when combined with behavioral, device, and identity signals.
Can Spur IP intelligence help identify coordinated fraud rings?
Fraud rings frequently share infrastructure, anonymization services, proxy providers, or geographic patterns. Spur's Infrastructure-level intelligence can help uncover relationships that may not be visible when reviewing accounts individually.
How can organizations reduce false positives when using Spur IP intelligence?
Organizations should avoid making decisions based on a single signal. VPN usage, proxy detection, geographic anomalies, and infrastructure classifications are most effective when evaluated together with customer history, transaction context, and other risk indicators.
What is CGNAT, and why does it complicate IP-based fraud detection?
CGNAT (Carrier-Grade NAT) lets a mobile carrier or ISP route many customers' traffic through a single public IP address. That means one IP can represent thousands of different devices and a mix of legitimate and malicious users, which makes IP-based signals alone less reliable — additional context is needed to distinguish individual users sharing that address.
How can Spur help organizations identify fraudulent remote workers without creating unnecessary friction?
The most effective approach is to use multiple signals rather than relying on any single indicator. Organizations can combine IP intelligence, identity verification, onboarding controls, and behavioral analytics to identify suspicious infrastructure patterns while minimizing disruption for legitimate candidates and employees. Spur intelligence can help identify infrastructure patterns, anonymization tools, proxy services, and geographic inconsistencies that may be associated with certain remote-work fraud schemes. Most organizations combine Spur data with additional identity, behavioral, and investigative signals.
Related guides & explainers
Why Residential Proxy Classifications Can Appear on Legitimate Infrastructure
Residential proxy networks recruit real consumer devices to relay traffic, so a legitimate ISP's own IP ranges can show a residential-proxy classification without the ISP's knowledge or involvement.
Anonymizing vs. Non-Anonymizing Tunnels: What the "anonymous" Flag Means
Not every tunnel Spur detects is built to anonymize. The tunnels object's anonymous flag distinguishes corporate/ZTNA infrastructure from services designed to obscure a user's origin.
What "Client Proxies" Means in Spur Data
"Client Proxies" in Spur data describes proxy-network activity Spur observed coming from an IP — it does not mean the IP is owned or operated by the listed provider.
How Spur IP Classifications Work: Observed Behavior, Not IP Ownership
Spur classifications describe what was observed happening on an IP during a given window, not who owns the IP or ASN — a key distinction when investigating a classification that looks wrong.