Real-time Proxy Detection: Safeguarding Your Online Business

Excluded from normalized aggregate trends after staff review: 3056 posts were attributed to March 2026; 671 shared March 14, 2026. The preceding six-month median was 13.5 posts.

Review evidence: 3,056 posts in March 2026; 671 shared March 14, 2026; preceding six-month median 13.5. Reviewed August 9, 2026.

This company's pages remain public, but its content is excluded from normalized aggregate trends. Unfiltered raw trends and advanced filtering are available to Accelerate and Lead accounts.

Real-time proxy detection helps businesses identify connections routed through VPNs, proxy servers, Tor exit nodes, and other anonymizing services that may be used for legitimate privacy purposes but can also facilitate fraud, cyberattacks, geographic restriction evasion, and inaccurate analytics. It supports fraud prevention, security, AML and KYC compliance, content licensing enforcement, and data integrity by assessing IP reputation and geolocation alongside HTTP headers, behavioral patterns, device fingerprints, and sometimes network characteristics. Effective deployment involves applying detection at high-risk points such as registration, login, payments, and major transactions; establishing proportionate responses such as review, additional verification, or blocking; and combining proxy signals with other fraud indicators while monitoring for evolving threats and false positives. Didit presents its IP Analysis module as a background service that detects anonymizing connections, location mismatches, and device-related risks, integrates these signals into customizable identity workflows, and can be used alongside biometric verification, AML screening, and device fingerprinting.

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