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IndigiArmor — Sovereign AI Safety Framework — 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
ourdigital.eu ↗	68 match 1 shared topics	OurDigital — European Digital Sovereignty	European Union en	information-and-network-security	robotsllmsaihumans	emailphone	none
mcpf.dev ↗	68 match 1 shared topics	MCP Trust Framework — MCPF.dev	en	information-and-network-security	robots llmsaihumans	emailphone	none
incrypt-me.com ↗	67 match 1 shared topics	INCRYPT-ME — Sovereign Cyber Resilience for Kuwait	KW~ en	information-and-network-security	robots llmsaihumans	email phone	none
totemid.dev ↗	67 match 1 shared topics	Totem ID — EU-Sovereign Passwordless Identity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
blackthorn-group.com ↗	66 match 1 shared topics	Blackthorn Group — Safety Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
impossible-labs.io ↗	66 match 1 shared topics	Impossible Labs — European data sovereignty advisory, from Amsterdam	en	information-and-network-security	robotsllmsaihumans	emailphone	none
third-ark.com ↗	66 match 1 shared topics	Third ARK — Sovereign Intelligence. Local. Provenanced.	en	information-and-network-security Ghost	robotsllmsaihumans	emailphone	none
fensoman.com ↗	66 match 1 shared topics	Your Company — Security & Life Safety Integrator	en	information-and-network-security Spree Commerce	robotsllmsaihumans	email phone	none
thirddegreemedia.com ↗	66 match 1 shared topics	Privacy in the Pines \| Privacy Tools & Digital Sovereignty	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
coreidai.com ↗	65 match 1 shared topics	CORE_ID_AUTHORITY // SOVEREIGN REGISTRY	en	information-and-network-security	robotsllmsaihumans	emailphone	none
threatteamingframework.com ↗	65 match 1 shared topics	Threat Teaming Framework — Pentest report intelligence for CISOs	en	information-and-network-security	robotsllmsaihumans	emailphone	none
threatteamingframework.app ↗	65 match 1 shared topics	Threat Teaming Framework — Pentest report intelligence for CISOs	en	information-and-network-security	robotsllmsaihumans	emailphone	none
threat-teaming-framework.com ↗	65 match 1 shared topics	Threat Teaming Framework — Pentest report intelligence for CISOs	en	information-and-network-security	robotsllmsaihumans	emailphone	none
csrmc.org ↗	64 match 1 shared topics	BAI Information Security: Risk Management Framework Training	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
corporatecybersecurity.net ↗	64 match 1 shared topics	Corporate Cybersecurity \| Welcome to Sovereign Security Architecture and Engineering	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ongaurd.com ↗	64 match 1 shared topics	OnGuard – Secure Protection & Safety Solutions	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	partial · 8
onlinesafteysummit.com ↗	64 match 1 shared topics	Meta Online Safety	en	information-and-network-security	robotsllmsaihumans	emailphone	none
onlinesafetysummit.com ↗	64 match 1 shared topics	Meta Online Safety	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.