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Networking and Computing Student Association — 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
ice-sys.com ↗	70 match 1 shared topics	Computer and Network Security Solutions Provider	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
icesystemsco.com ↗	70 match 1 shared topics	Computer and Network Security Solutions Provider	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
barraguard.com.au ↗	69 match 1 shared topics	Barracuda Networks Products, Consulting and Information \| BarraGuard.com.au	Australia en	information-and-network-security	robotsllmsaihumans	emailphone	none
a1system.com.my ↗	69 match 1 shared topics	Networking & Cybersecurity Solutions Malaysia	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
aarvestanetworks.com ↗	68 match 1 shared topics	AARVESTA NETWORKS - Security & Networking Solutions	en	information-and-network-security	robotsllmsaihumans	email phone	none
cca-alumni.org ↗	68 match 1 shared topics	Cyber Command Alumni Association	en	information-and-network-security Adobe Experience Manager	robotsllmsaihumans	emailphone	none
ccnsleb.com ↗	68 match 1 shared topics	CCNS Lebanon IT Security Networking Solutions Telecommunication	en	information-and-network-security	robotsllmsaihumans	emailphone	none
abinns.net ↗	68 match 1 shared topics	International Association for Behavior in Networks Studies	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	full · 12
csaaintl.org ↗	68 match 1 shared topics	Home - The Monitoring Association	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cctv-ca.com ↗	68 match 1 shared topics	CCTV, Network and Security systems	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
siamorg.com ↗	68 match 1 shared topics	SiamOrg - Network Security and Penetration	en	information-and-network-security	robotsllmsaihumans	emailphone	none
100security.net ↗	67 match 1 shared topics	Security and Compliance \| 100% Security	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cybertk.net ↗	67 match 1 shared topics	Cyber Tek — Managed IT, Software, Networking, AI & Cybersecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sigmaberry.com ↗	67 match 1 shared topics	Learn Ethical Hacking – WiFi, Mobile Networks, and Cybersecurity	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
kali.org ↗	67 match 1 shared topics	Kali Linux \| Penetration Testing and Ethical Hacking Linux Distribution	en	information-and-network-security	robotsllmsaihumans	emailphone	none
intellidefend.co.uk ↗	67 match 1 shared topics	NIKSUN® - Network Security and Performance	United Kingdom en	information-and-network-security	robotsllmsaihumans	emailphone	none
zubermulla.com ↗	67 match 1 shared topics	Cybersecurity Portfolio \| Cloud Computing & AI Specialist	en	information-and-network-security	robotsllmsaihumans	emailphone	none
decoyrouting.com ↗	67 match 1 shared topics	Refraction Networking	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.