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.
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 do attackers use VPNs and residential proxies in account takeover attacks?
Attackers use VPNs and residential proxy networks to hide their true location, rotate IP addresses, and distribute login attempts across many seemingly legitimate users. This enables credential stuffing and account takeover campaigns to evade rate limits, IP reputation systems, and geographic controls. Spur IP intelligence helps identify these anonymization technologies and provides additional context that can be incorporated into authentication decisions.
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.
Can Spur IP intelligence distinguish between good bots and malicious automation?
Spur's IP intelligence can provide valuable context about the infrastructure behind automated activity, including whether traffic originates from known AI providers, hosting environments, VPNs, or residential proxy networks. Organizations can use this context alongside business policies to determine which automated activity should be allowed, monitored, or restricted.
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.
Troubleshooting Sign-in, SAML and SSO
Can't sign in to Spur? Work through the common causes: how sign-in works, corporate email checks, password resets, finding your organization, and SAML single sign-on.
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.