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zkSELF × 402 — Identity for Autonomous Agents — 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
agentpin.org ↗	75 match shared topic	AgentPin — Domain-anchored cryptographic identity for AI agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
okta.com ↗	65 match shared topic	Secure Identity for Employees, Customers, and AI \| Okta	en	information-and-network-security Adobe Experience Manager	robotsllmsaihumans	emailphone	none
snyk.io ↗	65 match shared topic	Snyk AI Security Fabric \| Secure Code, Models & Agents \| Snyk	en	information-and-network-security	robotsllmsaihumans	emailphone	none
yoti.com ↗	65 match shared topic	Building the world's trusted identity platform • Yoti	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	partial · 8
vouched.id ↗	65 match shared topic	Vouched \| Digital Identity Verification	Indonesia en	artificial-intelligence HubSpot	robotsllmsaihumans	emailphone	none
signicat.com ↗	65 match shared topic	Identity solutions for a trusted digital world - Signicat	en	information-and-network-security	robotsllmsaihumans	emailphone	none
tanium.com ↗	65 match shared topic	Autonomous IT, endpoint intelligence and control	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
snyk.co ↗	65 match shared topic	Snyk AI Security Fabric \| Secure Code, Models & Agents \| Snyk	Colombia en	information-and-network-security	robotsllmsaihumans	emailphone	none
hoop.dev ↗	65 match shared topic	hoop.dev \| Accelerate your AI agents. One gateway to every data source.	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
trmlabs.com ↗	65 match shared topic	TRM Labs \| Agents and intelligence to fight crime	United States~ en	information-and-network-security	robots llmsaihumans	emailphone	none
reconeyez.com ↗	65 match shared topic	Autonomous intrusion detection system with AI \| Reconeyez	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
descope.com ↗	65 match shared topic	Descope \| Customer and Agentic Identity Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
aembit.io ↗	65 match shared topic	Aembit \| Agentic AI and Workload Identity & Access Management	en	information-and-network-security WordPress Lightspeed	robots llmsaihumans	emailphone	none
goteleport.com ↗	65 match shared topic	Teleport: Unified Identity Securing Classic & AI Infrastructure \| Teleport	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
veriff.com ↗	65 match shared topic	Global AI Identity Verification & KYC Solutions - Veriff	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
moltaicorp.com ↗	65 match shared topic	Molt AI \| Adversarial Testing and Assurance for AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
regulaforensics.com ↗	65 match shared topic	Identity Verification Solutions & Forensic Devices by Regula	en	information-and-network-security	robotsllmsaihumans	emailphone	none
saviynt.com ↗	65 match shared topic	Saviynt \| AI-Based Identity Security and Access Management Platform Solutions	en	information-and-network-security HubSpot	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.