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VYXNOS — AI-Native Autonomous Security Infrastructure — 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 Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
inteliwert.com ↗	74 match 2 shared topics	Inteliwert - Autonomous Security Intelligence Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
intlix.com ↗	72 match 2 shared topics	Intlix — Infrastructure • AI Agents • Security	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 10
attackmesh.io ↗	71 match 2 shared topics	AttackMesh — The autonomous pentest platform that lives on your infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
astha.ai ↗	71 match 2 shared topics	Astha — Runtime Security & Compliance for AI Agent Infrastructure	en	information-and-network-security	robots llmsaihumans	emailphone	full · 15
nectotech.com ↗	71 match 2 shared topics	Necto — Secure Infrastructure for AI Agents	Sweden~ en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
autoarmor.net ↗	70 match 2 shared topics	AutoArmor — Autonomous AI, Automation & Security Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
livic.ai ↗	70 match 2 shared topics	Livic AI – Autonomous Trust & Security Layer for AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cantina.xyz ↗	70 match 2 shared topics	Cantina \| AI-Native Security, Backed by Human Expertise	en	information-and-network-security	robots llmsaihumans	emailphone	none
protostars.ai ↗	70 match 2 shared topics	Protostars.ai — AI Trust Infrastructure for EU Cyber Resilience Act	en	information-and-network-security	robotsllmsaihumans	emailphone	none
intentframe.com ↗	69 match 2 shared topics	IntentFrame — AI-Powered Security & Governance for Autonomous Agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
cryptonqr.com ↗	69 match 2 shared topics	CryptonQR — Trust Infrastructure for the AI Era	en	information-and-network-security Paddle	robotsllmsaihumans	emailphone	none
livingsecurity.dev ↗	69 match 2 shared topics	Living Security \| AI-Native Human Risk Management	United States~ en	artificial-intelligence HubSpot	robotsllmsaihumans	emailphone	none
livingsecurity.com ↗	69 match 2 shared topics	Living Security \| AI-Native Human Risk Management	United States~ en	artificial-intelligence HubSpot	robotsllmsaihumans	emailphone	none
astraqcyberdefence.com ↗	69 match 2 shared topics	AstraQ Cyber Defence — AI-Native Security & Intelligence for Modern Enterprises	India~ en	information-and-network-security	robotsllmsaihumans	email phone	none
nedservicesgroup.com ↗	68 match 2 shared topics	NED Services Group \| Cybersecurity, AI Governance & Digital Infrastructure Advisory	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ai-security-consultant.ch ↗	68 match 2 shared topics	AI Security Consultant — Automated Cybersecurity for SMEs	Switzerland en	artificial-intelligence	robotsllmsaihumans	emailphone	none
integrityfirstcyber.com ↗	68 match 2 shared topics	Integrity First Cyber Solutions \| AI-Native Cybersecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xhunter.io ↗	68 match 2 shared topics	0xHunter - Continous Security Platform	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.