Product info sheet layout

  • 진행 현황: Closed
  • 상금: $250
  • 응모작 접수(건수): 23
  • 수상자: techhuntpro

콘테스트 개요

Brochure layout
Product name: TrueLocation API
Company name: GeoGuard Website: https://www.geoguard.com/solutions/
Audience: Payment/banking, finance regulatory compliance and fraud prevention professionals.
Briefing: We would like to get a layout created for our TrueLocation API product info sheet.
(Attached logo and product flow/wireframe - if possible create a more interesting flow for the product chart)
Format: Letter

Content:

[title] Fraudulent Location Detection in Milliseconds via API
GeoGuard TrueLocation API provides advanced location-based fraud
detection, utilizing both a real-time risk engine and a historical risk
engine to identify and flag potential fraudulent activity. By analyzing both
real-time and historical data, the GeoGuard TrueLocation API can help
organizations easily identify and stop a wide variety of fraud including
chargeback fraud, account sharing, CNP fraud and account takeovers.
GeoGuard TrueLocation API’s rules are fully customizable, to meet an
organization’s unique requirements in terms of the amount of user data
submitted, the types of flags generated and the fraudulent activities they
are looking to identify and stop.

[title] PRODUCT FEATURES
- Detect and control account sharing
via API
- Extremely easy to deploy as an API
based solution
- No end-user friction, seamless
experience via app or website
- Works with IP, HTML5 and native app
geolocation data


[title] Real-Time Risk Engine Detects
• Faked lat/long coordinates from location apps
running on the device
• The use of VPNs or DNS Proxies via the device’s IP
address
• Whether IP location and the location data submitted
by the device are different
• Whether the lat/long is in a remote area where no
people are living

[title] Historical Risk Engine Detects
Account sharing when a user’s lat/long coordinates
jump a large distance in a short period of time
• Account sharing when a user’s IP-based location
coordinates jump a large distance in a short period
of time
• Location spoofing if lat/long/accuracy are constant
for a long period of time with multiple transactions
• Location spoofing when the data from multiple
transactions has the same accuracy as used by
location faking apps

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