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Artificial Intelligence, Data Sciences, Networking, Cyber Security – Technologie und Gesellschaft — 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
cybersecuritycompetencegroup.ch ↗	66 match 1 shared topics	CSCG.ch – Cyber Security Competence Group CH	Switzerland de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
csa-on.net ↗	66 match 1 shared topics	CSA-ON.NET – Cyber Security Awareness	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cyberlope.gmbh ↗	65 match 1 shared topics	Cyberlope – Cyber Security for Supply Chains / CRA	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cyberlope.info ↗	65 match 1 shared topics	Cyberlope – Cyber Security for Supply Chains / CRA	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cybrdf.com ↗	65 match 1 shared topics	Cyber Security Services	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cybersecuritysolutions.ch ↗	65 match 1 shared topics	Cyber Security Solutions	Switzerland de	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersecurity-austria.info ↗	65 match 1 shared topics	Cyber Security News Austria	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cyber-security.versicherung ↗	65 match 1 shared topics	IT-Sicherheit - Mivisio - Cyber Security und Versicherungen	de	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
cyberintelligence.institute ↗	65 match 1 shared topics	CII \| cyberintelligence.institute	de	information-and-network-security	robotsllmsaihumans	emailphone	none
blue-sentinel.ch ↗	65 match 1 shared topics	Cyber Security und IT nach Mass - Blue Sentinel GmbH	Switzerland de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cswe.io ↗	65 match 1 shared topics	Cyber Security Wiebke Ehret - Kontakt	de	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberconference.schwarz ↗	64 match 1 shared topics	Startseite \| Cyber Security Conference 2026 by Schwarz Digits	de	information-and-network-security	robotsllmsaihumans	emailphone	none
apexcybersolutions.ch ↗	64 match 1 shared topics	Apex Cyber Solutions AG \| Security	Switzerland de	information-and-network-security Wix	robots llmsaihumans	emailphone	none
prismatechno.com ↗	64 match 1 shared topics	IT-Analysen und Cybersecurity Entwicklungen	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	partial · 8
critsecurity.ch ↗	64 match 1 shared topics	CritSecurity – Cybersecurity Services \| Safe – Simple – Honest	Switzerland de	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
8com-holding.com ↗	64 match 1 shared topics	Cyber Security für Unternehmen & Behörden - 24/7 aus Deutschland	de	information-and-network-security	robotsllmsaihumans	emailphone	none
8com.io ↗	64 match 1 shared topics	Cyber Security für Unternehmen & Behörden - 24/7 aus Deutschland	de	information-and-network-security	robotsllmsaihumans	emailphone	none
defcom.com ↗	64 match 1 shared topics	Defcom ist eine Gesellschaft, die eine neuartige und offene Verschlüsselung für den Datenschutz entwickelt.	de	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.