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URL Categorization Database | 120M+ Domains for AdTech, Cybersecurity & SEO — 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
usedust.com ↗	69 match 1 shared topics	Dust: The World's Most Secure Messenger - Own Your World	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
namesec.io ↗	68 match 1 shared topics	Namesec \| Cybersecurity for Digital Names, Domains & Emails	en	information-and-network-security	robotsllmsaihumans	emailphone	none
namesec.com ↗	68 match 1 shared topics	Namesec \| Cybersecurity for Digital Names, Domains & Emails	en	information-and-network-security	robotsllmsaihumans	emailphone	none
nanotechx.org ↗	68 match 1 shared topics	NanoTechx - Cybersecurity Innovation & Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
accutive.com ↗	68 match 1 shared topics	Accutive \| Cybersecurity & FinTech Solutions	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
awaisetech.com ↗	68 match 1 shared topics	Awais - Cybersecurity Blog	en	information-and-network-security	robotsllmsaihumans	emailphone	none
haxon.com ↗	67 match 1 shared topics	Haxon: Global Tech Talent and Robust Cybersecurity Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sysintegrity.com ↗	67 match 1 shared topics	Smart Cybersecurity Solutions for Your Business	en	information-and-network-security	robotsllmsaihumans	email phone	none
accounting-it-support.com ↗	67 match 1 shared topics	IT Support for Accounting Firms \| CPA Cybersecurity & Client Data Protection Guide	en	information-and-network-security	robotsllmsaihumans	emailphone	none
zunois.com ↗	67 match 1 shared topics	Zunois: Leading Cybersecurity Solutions for a Safer Future \| ZUNOIS	en	information-and-network-security	robotsllmsaihumans	emailphone	none
zybergroup.com ↗	67 match 1 shared topics	Zyber Group — Mission-Ready Cybersecurity & Digital Modernization	US~ en	information-and-network-security	robotsllmsaihumans	email phone	none
lumorasecurity.com ↗	67 match 1 shared topics	Essential Cybersecurity Solutions For UAE Businesses	AE~ en	information-and-network-security Webflow	robotsllmsaihumans	email phone	none
cyber-security.ae ↗	67 match 1 shared topics	Cybersecurity Solutions \|	AE en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
2lecybersec.com ↗	67 match 1 shared topics	Stay Updated on Cybersecurity & Data Protection \| 2leCyberSecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
acylia.com ↗	67 match 1 shared topics	Acylia \| Cybersecurity & Pentest	en	information-and-network-security	robotsllmsaihumans	emailphone	none
axelristechnology.com ↗	67 match 1 shared topics	Cybersecurity Solutions for Businesses USA \| Axelris Technologies	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
axelristechnologies.net ↗	67 match 1 shared topics	Cybersecurity Solutions for Businesses USA \| Axelris Technologies	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
axelristechnologies.com ↗	67 match 1 shared topics	Cybersecurity Solutions for Businesses USA \| Axelris Technologies	en	information-and-network-security WordPress WooCommerce	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.