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VULNIS – NIS2 Asset Inventory & Vulnerability Checks — 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
doom-sec.com ↗	70 match 1 shared topics	DOOM-SEC \| Threat Intelligence & Vulnerability Assessment	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1hacking.com ↗	69 match 1 shared topics	1HACKING \| Ethical hacker \| Vulnerability assessment \| Penetration testing	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
sitescanna.com ↗	68 match 1 shared topics	SiteScanna — Website Vulnerability Scanner \| Automated Security Assessment & Pen Testing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
automata.org ↗	68 match 1 shared topics	AutomataSECURE – Unify Vulnerabilities, Simply Compliance	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
vornin.com ↗	68 match 1 shared topics	EU Vulnerability Scanner Platform \| Scan. Resolve. Prove.	en	information-and-network-security Drupal	robots llmsaihumans	emailphone	none
internetfirewallservers.com ↗	68 match 1 shared topics	Internet Firewall Servers, Content Filtering, and Vulnerability testing	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
cavarette.com ↗	66 match 1 shared topics	Free Website Security Scanner - Discover Vulnerabilities \| Cavarette	en	information-and-network-security	robotsllmsaihumans	emailphone	none
vsgcompany.com ↗	66 match 1 shared topics	Vulnerability Solutions Group, llc – Innovative Security Consulting	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
protegotechnologies.com ↗	65 match 1 shared topics	Protego Technologies - Enterprise Security Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
stockfood.com.br ↗	65 match 1 shared topics	Security Check	Brazil en	information-and-network-security	robotsllmsaihumans	emailphone	none
auditica.net ↗	65 match 1 shared topics	Auditica- Security, SEO & Availability Monitoring	en	information-and-network-security	robotsllmsaihumans	emailphone	none
invenitylabs.com ↗	65 match 1 shared topics	Invenity Labs \| Cybersecurity Research & Development	en	information-and-network-security	robotsllmsaihumans	emailphone	none
invenity-labs.com ↗	65 match 1 shared topics	Invenity Labs \| Cybersecurity Research & Development	en	information-and-network-security	robotsllmsaihumans	emailphone	none
assetsupporthq.com ↗	64 match 1 shared topics	AssetSupportHQ - Secure Digital Asset Communication	en	information-and-network-security	robotsllmsaihumans	emailphone	none
authe.org ↗	64 match 1 shared topics	authe — proof of authenticity & traceability	en	information-and-network-security	robots llmsaihumans	emailphone	none
0xamr.com ↗	64 match 1 shared topics	Amr Al Hallak \| Cybersecurity & Bug Bounty	en	information-and-network-security	robotsllmsaihumans	email phone	none
365labs.cloud ↗	64 match 1 shared topics	365labs - Microsoft 365 and cyber security consultancy	en	information-and-network-security Squarespace	robotsllmsaihumans	emailphone	none
auditoriadeciberseguridad.com ↗	64 match 1 shared topics	Auditoría de Ciberseguridad - Detecta Vulnerabilidades y Protege tu Empresa \| RedSevilla	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.