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Smart Cards & Security Keys for Passwordless Authentication | ZTPass — 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
hawcx.com ↗	75 match 1 shared topics	Hawcx - Passwordless Authentication	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bankvaulttravel.net ↗	73 match 1 shared topics	Passwordless Authentication & Invisible Fortified VPN \| BankVault	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
bankvaultcryptoexchange.com ↗	73 match 1 shared topics	Passwordless Authentication & Invisible Fortified VPN \| BankVault	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
usetokencore.com ↗	73 match 1 shared topics	Token: Biometric Authentication for Enterprise Security	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
cryptonox.tech ↗	71 match 1 shared topics	Cryptnox \| Crypto Hardware Wallet Cards & FIDO2 Security Keys	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
useiami.com ↗	70 match 1 shared topics	Trustless MFA & Identity Security for Web3 & Fintech \| I Am I Authentications	en	information-and-network-security Webflow	robotsllmsaihumans	emailphone	none
2fasafe.com ↗	69 match 1 shared topics	2FASafe - Secure 2FA Authenticator & Online Security Tools	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersecurity.run ↗	69 match 1 shared topics	Tools & Information \| Cyber Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1span.net ↗	69 match 1 shared topics	eSignature, Authentication, Mobile App Security \| OneSpan	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
1span.org ↗	69 match 1 shared topics	eSignature, Authentication, Mobile App Security \| OneSpan	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
1spam.net ↗	69 match 1 shared topics	eSignature, Authentication, Mobile App Security \| OneSpan	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
1spam.org ↗	69 match 1 shared topics	eSignature, Authentication, Mobile App Security \| OneSpan	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
1spam.com ↗	69 match 1 shared topics	eSignature, Authentication, Mobile App Security \| OneSpan	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
usepassflow.com ↗	69 match 1 shared topics	Passkey Authentication Platform \| Passflow	en	information-and-network-security	robotsllmsaihumans	emailphone	none
utopiansecurity.com ↗	68 match 1 shared topics	Utopian Security ~ Secure Trusted Authentication Services	en	information-and-network-security	robotsllmsaihumans	emailphone	none
synapser.com ↗	68 match 1 shared topics	Entry — Biometric Authentication SDK \| Synapser	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sybha.com ↗	68 match 1 shared topics	Sybha \| Information Security for SMEs	en	information-and-network-security	robotsllmsaihumans	emailphone	none
fastauthentication.com ↗	68 match 1 shared topics	FastAuthentication	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.