Device Recon analyzes hundreds of mobile and desktop device characteristics and behaviors–including browsers, language, location, operating system, even mobile emulation, and battery level–to fingerprint devices. Fraudsters can mask identifying properties like their username, email, and IP address, but with Device Recon you can determine if a device is associated with fraud.
If a fraudster returns to your site or application and makes minor changes to device characteristics and behaviors, traditional fingerprinting technology will not detect it’s the same device, and the fraudster will slip through your blacklist defense. But Device Recon uses machine learning models that incorporate risk scoring and clustering to see through the fraudsters’ techniques–giving you triple protection against their attacks.
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