Add verified, precise location and proprietary device intelligence to your fraud stack. Uncover account takeover, multi-accounting, and coordinated abuse that identity checks, IP geolocation, and device fingerprints alone can miss.

Confirm where a user actually is, not just where an IP address points. Cross-check GPS, Wi-Fi, device integrity, and network signals to detect spoofing and inconsistencies before key transactions.


Find physical locations where suspicious activity concentrates, even when accounts use different devices and IP addresses. Reveal device farms, promo abuse, and multi-accounting that can look legitimate one account at a time.
Detect impossible travel, location jumping, activity at known and trusted locations, and changes in physical world behavior over time.


Detect VPNs, residential proxies, emulators, compromised devices, and suspicious browsers without requesting precise location. Step up risky sessions to precise location verification while letting low-risk sessions continue without friction.
“Radar is an exceptional company to work with. What sets them apart is their relentless focus on solving the complex fraud challenges we face.”

Brad Craft
VP of Risk and Lottery Fulfillment Operations
Our Location Intelligence Graph combines 100B+ precise location observations per year with machine learning to deliver higher accuracy, smarter risk scores, and insights others can’t match. Put proprietary location, device, and IP intelligence to work alongside the signals you already trust.
location observations per year
devices per year
API uptime
API calls per second at peak
Bring Radar’s verified location and fraud signals into Socure RiskOS and your other anti-fraud tools. Make decisions alongside the identity, device, and payment signals you already use.
Evaluate incremental detection, false positives, and customer friction on your own traffic. Keep the tools that work. Add the signals you’re missing.
Put Radar to the test against your own account takeover, multi-accounting, and platform abuse challenges.