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Falseip alternatives & similar sites

FalseIP.com - because your IP is nobody's business! — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Information And Network Security →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
vipre.com ↗	70 match shared topic	Comprehensive Cybersecurity for Business and Home \| VIPRE	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
swatbusiness.com ↗	70 match shared topic	Complete IT, Networking & Security Solutions \| SWAT Business Consulting	United States~ en	information-and-network-security	robotsllmsaihumans	email phone	none
dmca.com ↗	62 match shared topic	Content Protection and Takedown Company Since 2006 \| DMCA.com	en	information-and-network-security	robotsllmsaihumans	emailphone	none
eset.com ↗	62 match shared topic	ESET Cybersecurity \| Enterprise, Business and Home Solutions \| ESET	en	information-and-network-security TYPO3	robotsllmsaihumans	emailphone	none
securitymetrics.com ↗	62 match shared topic	PCI \| HIPAA \| Credit Card Compliance \| SecurityMetrics	en	information-and-network-security	robotsllmsaihumans	emailphone	none
usercentrics.com ↗	62 match shared topic	Usercentrics \| Leading in Data Privacy & Compliance	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
kaspersky.com ↗	62 match shared topic	Kaspersky Cyber Security Solutions for Home and Business \| Kaspersky	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ic3.gov ↗	62 match shared topic	Home Page - Internet Crime Complaint Center (IC3)	en	information-and-network-security	robotsllmsaihumans	emailphone	none
watchguard.com ↗	62 match shared topic	WatchGuard \| Comprehensive Cybersecurity Solutions	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
dnsmadeeasy.com ↗	62 match shared topic		en	information-and-network-security Adobe Experience Manager	robotsllmsaihumans	emailphone	none
sucuri.net ↗	62 match shared topic	Sucuri - Complete Website Security, Protection & Monitoring	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
axon.com ↗	62 match shared topic	Axon \| Protect Life - Axon.com	en	information-and-network-security Storyblok	robotsllmsaihumans	emailphone	none
lwn.net ↗	62 match shared topic	Welcome to LWN.net [LWN.net]	en	information-and-network-security	robotsllmsaihumans	emailphone	none
csoonline.com ↗	62 match shared topic	CSO Online \| Security at the speed of business	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
identityiq.com ↗	62 match shared topic	IdentityIQ \| Comprehensive Identity Theft Protection	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
ieee-security.org ↗	62 match shared topic	IEEE TCSP - IEEE Computer Security's Technical Community on Security and Privacy	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ssl.com ↗	62 match shared topic	SSL Certificate & Digital Certificate Authority - SSL.com	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
h1.community ↗	62 match shared topic	H1 \| HackerOne Community	en	information-and-network-security	robots llmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.