Location data provides critical signals for fraud detection. Verisoul analyzes user location information to identify suspicious patterns and help protect your business from geographically-based fraud threats.

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Location Signal Types

Verisoul collects and analyzes various types of location data:

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IP Geolocation

  • Country: The country associated with the IP address
  • Region/State: The regional subdivision within the country
  • City: The city associated with the IP address
  • Coordinates: Latitude and longitude
  • Postal code: Where available

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Country Tracking

Verisoul tracks country information at both the session and account level:

  • Session country: The country detected for the current session based on IP geolocation
  • Account country: The most recent country associated with the user account
  • Account countries: A historical record of all countries a user has been seen in

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True Country Detection

Verisoul employs advanced techniques to detect a user’s actual location, even when they’re using proxies or VPNs:

  • true_country_code: Represents our best determination of a user’s actual location
  • Available for approximately 10% of proxy/VPN traffic
  • Leverages multiple data providers and proprietary ML algorithms
  • Helps identify users attempting to mask their true location
  • Defaults to the IP address country (session.location.country_code) when no additional signals are found

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Location Data in API Response

The Verisoul API provides comprehensive location data in the response:

{
  "session": {
    "true_country_code": "US",
    "location": {
      "continent": "NA",
      "country_code": "US",
      "state": "Texas",
      "city": "Austin",
      "zip_code": "78703",
      "timezone": "America/Chicago",
      "latitude": 30.2881,
      "longitude": -97.764
    }
  },
  "account": {
    "country": "US",
    "countries": ["US"]
  }
}

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Understanding Location Fields

  • session.true_country_code: Our determination of the user’s actual country, even if they’re using a proxy/VPN
  • session.location: Detailed location information derived from IP geolocation
  • account.country: The most recent country associated with this user account
  • account.countries: Array of all distinct countries this user has been seen in across all sessions (include true_country_code)

Note: When no proxy/VPN is detected or when we cannot determine the true location behind a proxy, true_country_code will default to the same value as session.location.country_code.

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How to use location signals

Location signals provide powerful tools for fraud prevention and regulatory compliance. Here are the most common ways our customers leverage location data:

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Blocking Risky Geographies

One of the most common rules implemented by companies is blocking access from high-risk geographies or regions they don’t service:

  • Regulatory Compliance: Block users from countries where your service is not licensed to operate
  • Fraud Prevention: Restrict access from countries with historically high fraud rates
  • Risk Management: Apply additional verification steps for users from moderate-risk countries

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Leveraging True Country Detection

The true_country_code field is particularly valuable for geographic blocking rules:

  • Bypass Prevention: Detect users attempting to bypass geo-restrictions using VPNs or proxies
  • Accurate Enforcement: Apply geographic rules based on the user’s actual location, not their apparent IP location
  • Compliance Assurance: Ensure regulatory compliance even when users attempt to mask their location

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Implementation in Verisoul

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Multi-Provider IP Intelligence

Verisoul uses multiple IP intelligence providers to maximize accuracy:

  • Combines data from several leading IP intelligence services that is updated in real-time
  • IP geolocation is one of the few data sources that Verisoul does not derive entirely on its own, due to the massive scale required to cover global IP locations
  • Maintains integrations with multiple specialized IP intelligence providers to ensure comprehensive global coverage
  • Applies proprietary ML algorithms to determine the most accurate location
  • Our ML system selects the most accurate provider for any given IP based on:
    • Historical accuracy evaluations by geography
    • Real-time signals such as which of our 300+ cloud regions the request was routed to
    • Request latencies and network path analysis
    • Consistency checks across multiple data sources
  • Identifies discrepancies that may indicate location spoofing
  • Attempts to detect true location even when proxies/VPNs are in use