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Stop Identity Fraud Before It Starts | ID Dataweb — 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
btobbes.com ↗	69 match 1 shared topics	Btobbes - Identity Verification & Fraud Systems	en	information-and-network-security	robotsllmsaihumans	emailphone	none
helpdeskid.com ↗	68 match 1 shared topics	HelpDeskID \| Identity Assurance for IT Helpdesk Operations	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oneidentity.com ↗	68 match 1 shared topics	One Identity \| Unified Identity Security	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
datheos.com ↗	68 match 1 shared topics	Datheos \| Personal Data Wallet & Digital Identity Control	UK~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
keenly.com ↗	68 match 1 shared topics	Identity theft and fraud protection \| Keenly	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cryptonid.tech ↗	68 match 1 shared topics	Crypton \| Identity Redefined	en	information-and-network-security	robotsllmsaihumans	emailphone	none
authwire.ch ↗	68 match 1 shared topics	AuthWire - Identity Operations Platform	Switzerland en	information-and-network-security	robotsllmsaihumans	email phone	none
anonyome.com ↗	68 match 1 shared topics	Anonyome Labs - Your identity protection journey starts here	en	information-and-network-security WordPress X-Cart	robotsllmsaihumans	emailphone	none
datapair.com ↗	67 match 1 shared topics	DataPair Identity Services	en	information-and-network-security	robotsllmsaihumans	emailphone	none
omniidentity.com ↗	67 match 1 shared topics	Omni Identity - Enterprise Biometric Access Control Systems	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hexapride.com ↗	67 match 1 shared topics	HexaPride \| Verified Professional Identity & Pride ID Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
daon.com ↗	67 match 1 shared topics	The Digital Identity Trust Company - Daon	United States~ en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
keepersecurity.net ↗	67 match 1 shared topics	Keeper Security \| Identity Security for Humans, Machines and AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
keepersecurity.com ↗	67 match 1 shared topics	Keeper Security \| Identity Security for Humans, Machines and AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
onetoid.com ↗	67 match 1 shared topics	12iD Next-gen identity management	en	information-and-network-security Squarespace Magento	robotsllmsaihumans	emailphone	none
facetech.my ↗	67 match 1 shared topics	FACE - Digital Identity Platform \| Face Auth \| facetech.my	en	information-and-network-security	robotsllmsaihumans	emailphone	none
didas.ch ↗	67 match 1 shared topics	DIDAS – Digital Identity and Data Sovereignty Association	Switzerland en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
trustid.ch ↗	67 match 1 shared topics	TrustID: the trusted Swiss digital identity (eID) \| TrustID	Switzerland en	information-and-network-security Drupal	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.