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Anchor - Secure Infrastructure for Computer Use 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
hianchorbrowser.com ↗	100 match 1 shared topics	Anchor - Secure Infrastructure for Computer Use Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ianchorbrowser.com ↗	100 match 1 shared topics	Anchor - Secure Infrastructure for Computer Use Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyphera.io ↗	74 match 1 shared topics	Cyphera — Secure Infrastructure for High-Trust Systems	en	information-and-network-security	robots llmsaihumans	emailphone	none
add-id.dev ↗	73 match 1 shared topics	dewa - Secure Digital Identity Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mintblue.com ↗	73 match 1 shared topics	Convergence Infrastructure for Enterprise	NL~ en	information-and-network-security	robots llmsaihumans	emailphone	none
stormwalltechnologies.com ↗	72 match 1 shared topics	StormWall Technologies - Security & Infrastructure Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mirrormaze.io ↗	72 match 1 shared topics	Mirrormaze Communications \| Secure Virtual Infrastructure for Enterprise Teams	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
claveon.net ↗	71 match 1 shared topics	Claveon - Infrastructure for Digital Trust	en	information-and-network-security	robotsllmsaihumans	emailphone	none
trans-data.com ↗	71 match 1 shared topics	Data and Communication Infrastructure Specialists - TDM	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
cipherift.net ↗	71 match 1 shared topics	Cipherift \| Security-First Infrastructure Done Right	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cipherift.io ↗	71 match 1 shared topics	Cipherift \| Security-First Infrastructure Done Right	en	information-and-network-security	robotsllmsaihumans	emailphone	none
heyva.net ↗	71 match 1 shared topics	Heyva — Security & Infrastructure Tools \| Heyva	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
cipherlayer.ai ↗	71 match 1 shared topics	CipherLayer.ai \| Post-Quantum Security Infrastructure for Communication & Connectivity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
roftcore.com ↗	71 match 1 shared topics	Roftcore \| Deep-tech defense engineering — secure communication infrastructure for hostile networks	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
fusionotsecurity.com ↗	71 match 1 shared topics	Cybersecurity Solutions for Critical Infrastructure	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
l9builds.com ↗	70 match 1 shared topics	L9 Infrastructure Builders	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
idevsec.com ↗	70 match 1 shared topics	IDevSec \| Technical Infrastructure & Security Architecture	IN~ en	information-and-network-security	robots llmsaihumans	emailphone	partial · 1
5thnode.com ↗	70 match 1 shared topics	5thnode \| Product & Trust Infrastructure for Web3 and AI Systems	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.