What use cases are most common?
Common use cases for Spur intelligence include fraud prevention (account takeover, fraudulent account creation, payment fraud), trust and safety (bot detection, geolocation verification, remote worker fraud), and security investigations (nation-state attack detection, perimeter security).
Common use cases for Spur intelligence include:
- Fraud prevention, such as account takeover prevention, fraudulent account creation, and payment fraud.
- Trust and safety, such as Bot detection, geolocation verification, and remote worker fraud.
- Security investigations, such as nation-state attack detection and perimeter security.
Similar questions
What does Spur do?
Spur provides IP intelligence that helps organizations identify anonymization technologies to make more informed security, fraud prevention, and trust decisions.
What products does Spur offer?
Spur delivers IP intelligence as bulk daily downloads, through API integration into existing security pipelines, and via real-time session enrichment.
What types of organizations use Spur?
Spur is used by security and threat hunting teams, fraud prevention teams, and trust and safety organizations in cybersecurity vendors, software companies, financial services companies, e-commerce platforms, law enforcement agencies, and organizations that need deeper insight into IP-based activity.
How is Spur different from traditional IP reputation feeds?
Traditional reputation feeds focus primarily on known malicious activity. Spur focuses on understanding the infrastructure, routing, anonymization technologies, and contextual characteristics behind an IP address, enabling organizations to make more informed decisions even when no prior abuse history exists.
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
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.
Quick Search: Finding an IP, ASN, or Service Tag
Use quick search to jump straight to any IP, ASN or service tag, a Monocle app, or a main area of the app, from anywhere, without navigating through menus.
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.
Why the Organization Field Isn't Available the Same Way Across Spur's Data Feeds
The Context API's per-IP organization field isn't guaranteed in every data feed. Each feed has a different schema and covers a different slice of IP space, so field availability varies by feed.