What use cases are most common?
Common use cases for Spur intelligence include:
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.
Should Spur data be used as a blocking list?
Generally, no. Spur is designed to provide context and intelligence rather than a simple allow/block decision. Most organizations achieve the best results when Spur data is incorporated into broader risk models and decisioning workflows.