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Trustless MFA & Identity Security for Web3 & Fintech | I Am I Authentications — 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
ztpass.com ↗	70 match 1 shared topics	Smart Cards & Security Keys for Passwordless Authentication \| ZTPass	en	information-and-network-security Shopify	robots llmsaihumans	emailphone	none
duosecurity.co.uk ↗	69 match 1 shared topics	Complete Identity Security & MFA Solutions \| Cisco Duo	GB en	information-and-network-security	robots llmsaihumans	emailphone	none
axidian.com ↗	69 match 1 shared topics	Axidian: Identity Security Solutions	en	information-and-network-security	robotsllmsaihumans	email phone	none
usetokencore.com ↗	69 match 1 shared topics	Token: Biometric Authentication for Enterprise Security	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
svasys.com ↗	69 match 1 shared topics	Svasys Inc. — Cryptographic Identity & Authentication	en	information-and-network-security	robotsllmsaihumans	emailphone	none
2faliveauthenticator.com ↗	68 match 1 shared topics	2FA Live Authenticator - Secure Two-Factor Authentication	en	information-and-network-security	robotsllmsaihumans	emailphone	none
absoluteaccessid.com ↗	68 match 1 shared topics	Identity, authentication, encryption & data protection, ID card systems, HSM & security solutions, Absolute Access ID \| Absolute Access ID	US~ en	information-and-network-security OpenCart	robotsllmsaihumans	emailphone	none
swectech.com ↗	68 match 1 shared topics	SWECTECH — Data Authentication Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1spam.net ↗	68 match 1 shared topics	eSignature, Authentication, Mobile App Security \| OneSpan	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
1spam.org ↗	68 match 1 shared topics	eSignature, Authentication, Mobile App Security \| OneSpan	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
1span.net ↗	68 match 1 shared topics	eSignature, Authentication, Mobile App Security \| OneSpan	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
1span.org ↗	68 match 1 shared topics	eSignature, Authentication, Mobile App Security \| OneSpan	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
1spam.com ↗	68 match 1 shared topics	eSignature, Authentication, Mobile App Security \| OneSpan	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
hawcx.com ↗	68 match 1 shared topics	Hawcx - Passwordless Authentication	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
2fasafe.com ↗	68 match 1 shared topics	2FASafe - Secure 2FA Authenticator & Online Security Tools	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ashlin.com.au ↗	68 match 1 shared topics	Ben Ashlin — Identity Security Consulting	AU en	information-and-network-security	robotsllmsaihumans	emailphone	none
ztechlab1.com ↗	68 match 1 shared topics	Dan Zaffino \| ZTechLab1: Identity Security Lab	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.