Detecting the type of proxy a user is connected to helps protect against cyber threats by limiting the potential for unauthorized network and system access. Managed security service providers (MSSPs) and online businesses can use this data as a front-line layer of fraud-prevention and threat detection.

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Fraudsters often use proxy detection database access to bypass geo-restrictions, engage in criminal activities, spoof their identity, or conduct other malicious behaviors. It is imperative to monitor and block proxies to prevent fraudulent activity. Proxies can also skew campaign data and provide inaccurate insight into customer behavior.

Proxy and VPN detection identifies high-risk connections by using a combination of IP address, port, header HTTP request, and other unique characteristics. The result is a robust, accurate detection engine with the ability to identify proxy servers, residential proxies, SOCKS, and VPN anonymizers.

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The iDenfy proxy detection database is updated hourly with new proxy and VPN information. This allows us to keep our customers’ systems up to date, while minimizing false positives.

Our proxy detection API enables the collection and processing of a variety of user, order, and transaction risk factors, including the presence of disposable phones, emails, stolen credentials, unauthorized payment details, and reputation issues. This information is used to generate an overall risk score for the connection and help ensure that only valid customers are getting through to your website. For additional protection, this data can be combined with Role-Based Access Control, Web Filters, and centralized logging for end-to-end visibility.