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Weinmann IT-Security - Cyber-Bedrohungen — 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-security.versicherung ↗	71 match 1 shared topics	IT-Sicherheit - Mivisio - Cyber Security und Versicherungen	de	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
cybersecurityportal.berlin ↗	71 match 1 shared topics	Übersicht - Cyber-Security Portal	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
webercons.com ↗	70 match 1 shared topics	Weber Consulting KG - Cybersecurity & IT-Sicherheitsberatung	de	information-and-network-security	robotsllmsaihumans	emailphone	none
eckes-granini-emergency.com ↗	69 match 1 shared topics	smartSEC Cybersecurity - smartSEC GmbH	de	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
geissel.io ↗	69 match 1 shared topics	Sebastian Geißel — Security Architect \| portfolio.geissel.io	de	information-and-network-security	robotsllmsaihumans	emailphone	none
sayedy.com ↗	68 match 1 shared topics	Sayed Sayedy \| Cybersecurity · KI-Sicherheit · Interkultur	de	information-and-network-security WordPress	robots llmsaihumans	emailphone	full · 10
7nine-solutions.com ↗	68 match 1 shared topics	7Nine-Solutions \| Cybersecurity	de	information-and-network-security Wix	robotsllmsaihumans	emailphone	none
aegis-sentry.com ↗	68 match 1 shared topics	IT-Security, Microsoft Administration & Backup Lösungen	de	information-and-network-security	robotsllmsaihumans	emailphone	none
cyber-samurai.tech ↗	68 match 1 shared topics	Cyber Samurai - Ihr verlässlicher IT-Security Dienstleister	de	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
u-s-p.ch ↗	67 match 1 shared topics	Umfassender Schweizer Cyber Security Service	Switzerland de	information-and-network-security WordPress	robots llmsaihumans	email phone	none
cyber-sicher.org ↗	67 match 1 shared topics	Cybersicherheit – Schutz vor Online-Bedrohungen	de	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
cyber-sicher.info ↗	67 match 1 shared topics	Cybersicherheit – Schutz vor Online-Bedrohungen	de	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
cybrdf.com ↗	67 match 1 shared topics	Cyber Security Services	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
mka-sec.de ↗	67 match 1 shared topics	Moritz Kaumanns IT Security \| IT-Sicherheit aus Offenburg	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberconference.schwarz ↗	67 match 1 shared topics	Startseite \| Cyber Security Conference 2026 by Schwarz Digits	de	information-and-network-security	robotsllmsaihumans	emailphone	none
admeritia.net ↗	67 match 1 shared topics	OT-Security – admeritia GmbH	de	information-and-network-security	robotsllmsaihumans	emailphone	none
scada-security.org ↗	67 match 1 shared topics	OT-Security – admeritia GmbH	de	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersecurity-austria.info ↗	67 match 1 shared topics	Cyber Security News Austria	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.