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Enterprise Fraud Intelligence for IP, Email, Phone, & Device Risk

IPQS helps fraud, risk, security, trust & safety, and compliance teams score users in real time using accurate intelligence across IP address reputation, email risk, phone validation, and device behavior.

See why 3,500+ companies use IPQS to identify high-risk users before fraud occurs:

  • Global coverage across IP, email, phone, device, transaction, and behavioral risk signals.
  • Accurate fraud scoring designed to reduce abuse without unnecessary false positives.
  • Enterprise-ready APIs, mobile SDKs, batch processing, and on-premise data options with SOC 2, ISO 27001, & GDPR trust.

Schedule a Demo With IPQS

Speak with our fraud experts to review your use case and experience IPQS risk signals in action.

Trusted by Fraud, Risk, Security & Trust Teams Worldwide

Recognized for Accurate Fraud Detection, Excellent Service, & Customer Support

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40-60% better detection rates than similar vendors.

Real-Time Fraud Signals Built for Enterprise Decisioning

  • Maintain an edge on fraud with the largest network of honeypots & sensors, that quickly detect new threats, compromised devices, and stolen user data.
  • Identify proxies, VPNs, Tor, residential proxy networks, botnets, stolen user data, suspicious devices, and scaled coordinated abuse across global traffic.
  • Score IP addresses, emails, phone numbers, devices, transactions, registrations, logins, and lead submissions with flexible risk thresholds and over 75+ custom rules.
  • Easy integration through REST APIs, JavaScript device fingerprinting, mobile SDKs, batch processing, dashboard tools, and pre-built plugins and extensions for popular platforms.

Prevent Fraud Across the Entire User Journey

Score risk at registration, login, checkout, account recovery, lead submission, and user verification.

Speak with a fraud intelligence expert: (800) 713-2618

Enhance Your Fraud & Risk Signals

Start with 1,000 free lookups or schedule a demo to see how IPQS can enrich fraud scores for IP, email, phone, and device risk across your user journey.