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Human Presence Protocol — Architectural Framework for Verifiable Human Presence — 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
humanpresenceprotocol.org ↗	85 match 1 shared topics	Human Presence Protocol — Architectural Framework for Verifiable Human Presence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
humanpresenceprotocol.com ↗	85 match 1 shared topics	Human Presence Protocol — Architectural Framework for Verifiable Human Presence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hexlasso.com ↗	67 match 1 shared topics	Hex Lasso — Architecture for the Human Perimeter \| Private · Practice · Academy	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
heralayer.com ↗	66 match 1 shared topics	Hera Protocol — Compliance for the shielded world	en	information-and-network-security	robotsllmsaihumans	emailphone	none
olpprotocol.com ↗	65 match 1 shared topics	OLP Protocol \| Privacy-Preserving Location Verification	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyslam.net ↗	65 match 1 shared topics	Cyslam — Cyber Architecture in Motion	en	information-and-network-security	robotsllmsaihumans	emailphone	none
brutecatch.com ↗	65 match 1 shared topics	BruteCatch — Multi-Protocol Brute-Force Protection for Windows Servers	en	information-and-network-security	robotsllmsaihumans	emailphone	none
a2as.org ↗	65 match 1 shared topics	A2AS Framework for AI Agent Security and Certification	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hegid.app ↗	65 match 1 shared topics	HegID — Verified Human Identity for the Next Internet	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
startbluetrusthealth.com ↗	65 match 1 shared topics	Blue Trust — Digital Presence Security for healthcare practices	en	information-and-network-security	robotsllmsaihumans	emailphone	none
5bsd.org ↗	64 match 1 shared topics	5BSD — Private Compute With Verifiable Integrity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
visiogram.ai ↗	64 match 1 shared topics	Visiogram Sovereign \| Regulated Architecture Evidence Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
doppelgangerprotocol.app ↗	64 match 1 shared topics	Verify Identity — Doppelgänger Protocol	en	information-and-network-security	robotsllmsaihumans	emailphone	none
squireit.com ↗	64 match 1 shared topics	Squire — The Truth Protocol	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hellohorizenlabs.com ↗	64 match 1 shared topics	Horizen Labs \| Verifiable Privacy Solutions	United States~ en	information-and-network-security Sanity	robotsllmsaihumans	emailphone	none
onhorizenlabs.com ↗	64 match 1 shared topics	Horizen Labs \| Verifiable Privacy Solutions	United States~ en	information-and-network-security Sanity	robotsllmsaihumans	emailphone	none
farewitness.com ↗	64 match 1 shared topics	FareWitness — Cryptographically Verifiable Media Capture	en	information-and-network-security	robotsllmsaihumans	emailphone	none
humanprincipal.ai ↗	64 match 1 shared topics	Human Principal - Privacy-preserving proof that a human is behind an agent	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.