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MENA: Enterprise Infrastructure for Execution, Detection, and 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
vnsis.com ↗	68 match 2 shared topics	VNSIS Technologies — Systems. Infrastructure. Security.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
pablohuertas.dev ↗	68 match 2 shared topics	Pablo Huertas - Cybersecurity & Infrastructure Notes	en	information-and-network-security	robotsllmsaihumans	emailphone	none
concretedigitalhq.com ↗	66 match 2 shared topics	Concrete Digital \| Distributed Systems & Digital Infrastructure Research	en	technology-and-computing	robotsllmsaihumans	emailphone	none
krishofer.com ↗	65 match 2 shared topics	Kris Hofer — Software Engineering Leader \| Infrastructure & Security	en	technology-and-computing	robotsllmsaihumans	emailphone	none
botscout.com ↗	64 match 2 shared topics	BotScout.com: Proactive Bot Detection,Screening, & Banning	en	technology-and-computing phpBB Zen Cart	robotsllmsaihumans	emailphone	none
1io.com ↗	64 match 2 shared topics	The foundation for digital sovereignty and resilience · 1iO	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
ownitnow.org ↗	64 match 2 shared topics	OWNITNOW — Sovereign Systems Architecture	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xsp.com ↗	64 match 2 shared topics	Game of Hide and Seek: Detecting Dynamic API Resolution at Runtime With Aether - 0xsp SRD - Security Research & Development	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
0ath.io ↗	64 match 2 shared topics	Øath - Unified Auth Layer for vSMPL \| Zero-Friction Authentication	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mcp-scorecard.ai ↗	64 match 2 shared topics	MCP Scorecard — Trust Scores for Every MCP Server	en	technology-and-computing	robots llmsaihumans	emailphone	none
mcpscorecard.com ↗	64 match 2 shared topics	MCP Scorecard — Trust Scores for Every MCP Server	en	technology-and-computing	robots llmsaihumans	emailphone	none
1f.ai ↗	63 match 2 shared topics	1F — Drop-in blockchain infra, real-time stream, and forensics	en	technology-and-computing	robotsllmsaihumans	emailphone	none
oztp.org ↗	63 match 2 shared topics	Open Zero Trust Project	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xhacked.com ↗	63 match 2 shared topics	0xHacked \| a trustless post-audit security protocol	en	information-and-network-security	robotsllmsaihumans	emailphone	none
didx.io ↗	63 match 2 shared topics	DIDX \| Official Company and Registry Anchor for PassPal and Passpod	en	technology-and-computing	robotsllmsaihumans	emailphone	none
bitlyft.com ↗	62 match 2 shared topics	MDR & Autonomous SOC for Mid-Market \| True MDR + AIR \| BitLyft	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
sidneywike.com ↗	62 match 2 shared topics	Fast, Accurate IP Intelligence API for Developers \| Šviesulė	en	information-and-network-security	robotsllmsaihumans	emailphone	none
blockchaincommons.com ↗	62 match 2 shared topics	Welcome to Blockchain Commons	en	technology-and-computing	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.