The best fraud teams don’t just verify identity. They verify location.
Radar Protect gives fraud and compliance teams accurate, real-time location and device signals to stop spoofing, catch account takeovers, and block abuse before it costs you.
The location layer your fraud stack has been missing
The most accurate location and device signals
Radar combines GPS, Wi-Fi, IP, Bluetooth, and sensor data into a single, hard-to-fake signal that IP geolocation alone can never replicate.
Prebuilt and custom fraud detection rules
Apply prebuilt rules for spoofing, bonus abuse, and account takeover, or build your own, with accuracy precise enough to catch real fraud without blocking real users.
Investigate and act on fraud signals faster
Surface flagged activity, identify patterns across users and devices, and route signals into your existing fraud stack without custom development.
Better fraud prevention starts with better location signals
Catch the fakes that IP checks let through
Detect GPS spoofing, VPN and proxy use, device tampering, and emulator traffic in real time using location and device signals that are far harder to fake than an IP address.
Know when the person logged in isn’t the account holder
Flag impossible travel, multi-device jumping, and multi-accounting the moment they happen, giving your team the signal to step up authentication or terminate the session before any damage is done.
Stop the same bad actor from hitting your offers twice
Detect repeat signups and promo exploitation from the same physical location or device, even when user IDs, addresses, and payment methods are different every time.
Verify every user is where they need to be
Confirm physical presence in a licensed jurisdiction before every wager, transaction, or access event, with real-time verification accurate enough to meet regulatory requirements across every market you operate in.
Trust the device before you trust the transaction
Detect cloned devices, device farms, and emulators using environment fingerprinting that goes beyond legacy device signals and holds up as Apple and Google tighten privacy restrictions.
Built to handle the scale of the most demanding apps
API requests per day
installed devices
Trusted by the world’s leading teams
“When you look at the geofencing industry, they are the clear leader in the space, and they continue to keep their foot on the gas when it comes to innovation.”
Matt Walker
Director of Product and Design, Mobile Apps
“We’re really happy we chose Radar as our geofencing provider at Sleeper. The integration with the rest of our tech stack was a breeze, well-documented and easy to follow.”
Ken Wang
Co-Founder
Prevent fraud wherever it happens
Gaming
Verify every wager, meet state-by-state compliance requirements, and stop location abuse without overpaying per ping.
Financial services
Detect mule accounts, impossible travel, and account takeovers with real device and location truth.
On-demand
Stop fake couriers, spoofed pickups, and bonus abuse from the accounts your legacy checks call clean.
Retail
Use location signals to verify that promotional offers and high-demand product releases aren’t being abused by users masking or manipulating their real location.
Frequently asked questions
What is location-based fraud detection and how does it work?
Location-based fraud detection uses real-world GPS, Wi-Fi, Bluetooth, and device signals to verify that a user is physically where they claim to be. Unlike IP geolocation, which is easy to spoof with a VPN or proxy, location-based fraud detection cross-references multiple signals to confirm genuine physical presence and device integrity.
Radar Protect applies this approach to stop account takeovers, location spoofing, bonus abuse, and geo-compliance violations in real time. Because Radar works at the SDK level on iOS and Android, it captures the precise, hard-to-fake signals that server-side and IP-based tools miss.
How is GPS-based fraud detection different from IP geolocation?
IP geolocation estimates a user's location based on their internet connection, which is easy to manipulate using VPNs, proxies, and residential IP services. GPS-based fraud detection uses the device's actual location hardware alongside Wi-Fi, Bluetooth, and environmental signals to confirm where a user physically is.
The result is significantly more accurate and significantly harder to fake. Radar Protect combines GPS with environment fingerprinting to catch the spoofing techniques that IP-based tools from providers like MaxMind, SEON, and Sift are not designed to detect.
How does Radar detect location spoofing and VPN use?
Radar Protect detects location spoofing by cross-referencing GPS coordinates, IP address, Wi-Fi network, device sensor data, and behavioral patterns to identify when a reported location is inconsistent with what the device is actually doing. This catches GPS spoofing apps, VPN and proxy services including residential proxies, device tampering, emulators, and device farms. Because Radar checks multiple signals simultaneously rather than relying on any single source, it catches sophisticated spoofing techniques that fool IP-only or GPS-only checks. Radar's mobile SDKs have been independently audited and certified by Gaming Labs International (GLI) for gaming use cases, and apply the same detection logic across every industry.
What industries use Radar Protect?
Radar Protect is used across any industry where location and device integrity are critical to fraud prevention and compliance. Current use cases include food delivery and ride sharing (fake couriers, spoofed pickups, bonus abuse), peer-to-peer payments and neobanks (mule accounts, impossible travel, account takeovers), gaming and betting (geo-compliance, location spoofing, bonus abuse), retail and e-commerce (promo abuse, bot operators, refund scams), and financial services (impossible travel, KYC accuracy, account integrity). Radar wins fastest where the app already uses GPS and where fraudsters depend on location spoofing and device farms.
How does Radar Protect complement existing fraud tools like Sift or SEON?
Radar Protect adds a precise location and device signal layer that complements, rather than replaces, existing fraud tools. Platforms like Sift and SEON are built primarily on behavioral analytics, IP scoring, and device fingerprinting, signals that are increasingly easy to fake as privacy restrictions tighten and spoofing techniques grow more sophisticated. Radar fills that gap with GPS-level location accuracy, environment fingerprinting, and real-time spoofing detection that server-side tools cannot replicate. Most teams integrate Radar alongside their existing fraud stack, routing Radar's location signals into their existing rules engine or risk scoring model.