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Keyd - Blockchain Identity Verification — 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
sumsub.com ↗	75 match shared topic	Leading Identity Verification Service - 2025 G2’s Top Pick \| Sumsub	UK~ en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
yousign.com ↗	75 match shared topic	Yousign (Youtrust) • eSignature & identity verification	en	information-and-network-security	robots llmsaihumans	emailphone	none
shuftipro.com ↗	75 match shared topic	Top Identity Verification and KYC Platform \| G2 2026 Leader – Shufti	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
credential.net ↗	65 match shared topic	Accredible • Certificates, Badges and Blockchain	en	information-and-network-security	robotsllmsaihumans	emailphone	none
certik.com ↗	65 match shared topic	Largest Blockchain Security Auditor - CertiK	en	information-and-network-security	robotsllmsaihumans	emailphone	none
onelogin.com ↗	65 match shared topic	OneLogin: Market-Leading Identity and Access Management Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
identityiq.com ↗	65 match shared topic	IdentityIQ \| Comprehensive Identity Theft Protection	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberark.com ↗	65 match shared topic	Identity Security and Access Management Leader \| CyberArk	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
duo.com ↗	65 match shared topic	Complete Identity Security & MFA Solutions \| Cisco Duo	en	information-and-network-security	robots llmsaihumans	emailphone	none
transmitsecurity.com ↗	65 match shared topic	Transmit Security - Customer Identity and Access Management (CIAM) and fraud prevention Leader.	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
keepersecurity.com ↗	65 match shared topic	Keeper Security \| Identity Security for Humans, Machines and AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
delinea.com ↗	65 match shared topic	Delinea Identity Security and Privileged Access Management	United States~ en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
netwrix.com ↗	65 match shared topic	Data Security that Starts with Identity™ \| Netwrix	United States~ en	information-and-network-security Sanity	robots llmsaihumans	emailphone	partial · 2
humanity.org ↗	65 match shared topic	Humanity for Humans – Prove You’re Real, Own Your Identity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
rsa.com ↗	65 match shared topic	Security-First Identity Solutions \| RSA Cybersecurity	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cyberscope.io ↗	65 match shared topic	Blockchain and Web3 Security Services \| Cyberscope	Greece~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
pingidentity.com ↗	65 match shared topic	Identity Security for the Digital Enterprise \| Ping Identity	en	information-and-network-security Adobe Experience Manager	robotsllmsaihumans	emailphone	none
validatedid.com ↗	65 match shared topic	Validated ID - Electronic Signature and Digital Identity Providers	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.