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Idtheftproblem alternatives & similar sites

ID Theft Protection for Individuals and families — 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
identisafe.com ↗	73 match 1 shared topics	IdentiSafe - Identity Theft Protection	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
idsafeshield.com ↗	73 match 1 shared topics	Expert ID Theft Protection & Cybersecurity Solutions	en	information-and-network-security Weebly	robotsllmsaihumans	emailphone	none
identityiqsafety.com ↗	73 match 1 shared topics	IdentityIQ \| Comprehensive Identity Theft Protection	US~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
identityiq.com ↗	73 match 1 shared topics	IdentityIQ \| Comprehensive Identity Theft Protection	US~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
agent57.ai ↗	71 match 1 shared topics	Agent 57 — Identity Protection for the AI Era	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersolve.uk ↗	71 match 1 shared topics	Information Security and Data Protection from Cybersolve	GB en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyrus.app ↗	70 match 1 shared topics	Cyrus \| Personal Cybersecurity \| Identity Theft Protection	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
idpicks.com ↗	70 match 1 shared topics	Best Identity Theft Protection Services 2026 - Identity Theft Picks	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
360ironwall.com ↗	70 match 1 shared topics	Online Privacy Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
360civicteam.com ↗	70 match 1 shared topics	Online Privacy Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dpenterprise.co.uk ↗	70 match 1 shared topics	Data Protection Enterprise	GB en	information-and-network-security	robotsllmsaihumans	email phone	none
cybermedic.co.uk ↗	69 match 1 shared topics	C Y B E R M E D I C :: Health Checks and Protection for your Home Computer	GB en	information-and-network-security	robotsllmsaihumans	emailphone	none
idefendforyou.com ↗	69 match 1 shared topics	IDefendForYou - Ultimate Protection for Your Digital Life	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
identity-protection.co.uk ↗	69 match 1 shared topics	Identity Protection	GB en	information-and-network-security	robotsllmsaihumans	emailphone	none
identityzapp.com ↗	69 match 1 shared topics	Identityzapp – AI Identity Protection & Data Removal	en	information-and-network-security	robots llmsaihumans	emailphone	none
eagleeye-intelligence.com ↗	69 match 1 shared topics	EagleEye Security — Real-Time Protection for Agencies	en	information-and-network-security WooCommerce	robotsllmsaihumans	emailphone	none
dotsafe.com ↗	69 match 1 shared topics	Dotsafe — Online Security and Data Protection Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
frontlinecorporate.com ↗	69 match 1 shared topics	Frontline Security - Real-time PC Protection for Windows	en	information-and-network-security	robotsllmsaihumans	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.