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cysmo® - Automatisierte Echtzeit Cyberrisiko-Bewertung - cysmo — 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
cyber-risiko-check.bayern ↗	66 match 1 shared topics	CyberRisikoCheck	de	information-and-network-security Joomla	robotsllmsaihumans	emailphone	none
cyberrisikocheck.bayern ↗	66 match 1 shared topics	CyberRisikoCheck	de	information-and-network-security Joomla	robotsllmsaihumans	emailphone	none
cyber-risiko-check.net ↗	65 match 1 shared topics	CyberRisikoCheck nach DIN SPEC 27076 für KMU	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cyber-europe.eu ↗	65 match 1 shared topics	Home - Cyber-Europe	European Union de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
a7s.ch ↗	65 match 1 shared topics	Automatis GmbH – IT-Sicherheit, Monitoring & KI-Beratung \| a7s.ch	Switzerland de	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
cyber-security.versicherung ↗	64 match 1 shared topics	IT-Sicherheit - Mivisio - Cyber Security und Versicherungen	de	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
cybersicherheit.at ↗	64 match 1 shared topics	Schutz - Cybersicherheit \| Cybersecurity \| Firewall	Austria de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
cybersecurityportal.berlin ↗	64 match 1 shared topics	Übersicht - Cyber-Security Portal	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
digitaleserbe.eu ↗	64 match 1 shared topics	Digitalisiert.EU – Digitalisierung & Cybersecurity	European Union de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
einkaufenmitvorteil.com ↗	64 match 1 shared topics	SAFE.WIEN – Kobler Network – „Digitale Stabilitätsanalyse 360° – Analyse, Risiko-Bewertung & tragfähige Architektur“	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
mindfields-inkasso.com ↗	64 match 1 shared topics	Das Inkassozentrum unterstreicht die Bedeutung von Cybersicherheit im Inkasso	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
servicecenteraustria.com ↗	64 match 1 shared topics	SAFE.WIEN – Kobler Network – „Digitale Stabilitätsanalyse 360° – Analyse, Risiko-Bewertung & tragfähige Architektur“	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cyber-trust.at ↗	64 match 1 shared topics	Cyber Trust Austria	Austria 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
serene-mastery.com ↗	64 match 1 shared topics	SereneMastery Cyber – Cybersicherheit für Ihr KMU	de	information-and-network-security	robotsllmsaihumans	emailphone	none
choin.com ↗	64 match 1 shared topics	Der Cyberkrimi	de	information-and-network-security	robotsllmsaihumans	emailphone	none
alles-fake.ch ↗	64 match 1 shared topics	Newsletter - Cyberprävention Services	Switzerland de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
allesfake.ch ↗	64 match 1 shared topics	Newsletter - Cyberprävention Services	Switzerland de	information-and-network-security WordPress	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.