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Sites similar to humanrootoftrust.org

Humanrootoftrust alternatives & similar sites

The Human Root of Trust — 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
affinidi.com ↗	67 match 2 shared topics	Affinidi: Building the Internet of Trust	en	information-and-network-security	robotsllmsaihumans	emailphone	none
livingsecurity.com ↗	65 match 2 shared topics	Living Security \| AI-Native Human Risk Management	United States~ en	artificial-intelligence HubSpot	robotsllmsaihumans	emailphone	none
livingsecurity.dev ↗	65 match 2 shared topics	Living Security \| AI-Native Human Risk Management	United States~ en	artificial-intelligence HubSpot	robotsllmsaihumans	emailphone	none
einz.io ↗	64 match 2 shared topics	EINZ.IO — Hardware-Rooted Trust for the Agentic Age	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
3craftsuav.com ↗	63 match 2 shared topics	.UAV Division of TRICRAFT Inc.	en	information-and-network-security Squarespace Magento	robotsllmsaihumans	emailphone	none
gardachain.com ↗	63 match 2 shared topics	GardaChain \| Trusted Security. Smarter Audits.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cryptonqr.com ↗	63 match 2 shared topics	CryptonQR — Trust Infrastructure for the AI Era	en	information-and-network-security Paddle	robotsllmsaihumans	emailphone	none
aurais.net ↗	63 match 2 shared topics	Aurais — See every bot. Curate the ones you trust.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
intasphere.com ↗	63 match 2 shared topics	intasphere \| Trusted AI Integration	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
cantina.xyz ↗	63 match 2 shared topics	Cantina \| AI-Native Security, Backed by Human Expertise	en	information-and-network-security	robots llmsaihumans	emailphone	none
integrous-evidence.com ↗	63 match 2 shared topics	Verifiable Trust for Digital Evidence	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
mygentic.ai ↗	63 match 2 shared topics	CELLO — The Trust Layer for Agent-to-Agent Communication	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
lithtrix.com ↗	63 match 2 shared topics	Lithtrix — The agent harness. Identity, memory, trust.	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
prufoldlabs.ai ↗	63 match 2 shared topics	Prufold Labs - The Trust Layer for the Autonomous Economy	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
vortalis.ai ↗	62 match 2 shared topics	Vortalis \| The trust layer for AI agents in regulated industries	United Kingdom~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
vouchcore.com ↗	62 match 2 shared topics	VouchCore \| Autonomous Trust Defense Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hackthebox.eu ↗	62 match 2 shared topics	Cyber Mastery: Community Inspired. Enterprise Trusted. \| Hack The Box	European Union en	artificial-intelligence HubSpot	robotsllmsaihumans	emailphone	none
cybsafe.co.uk ↗	62 match 2 shared topics	CybSafe – AI-powered human risk management – Improve security behaviors with data to prove it.	United Kingdom en	information-and-network-security Shopify	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.