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Claudio Bräuer – Information and network security — 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
neonsec.de ↗	72 match 1 shared topics	NEON – Information Security GmbH	Germany de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
dataguard.at ↗	69 match 1 shared topics	Data Privacy & Information Security - DataGuard	Austria de	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
net-defense.de ↗	68 match 1 shared topics	Achim Schmidt – IT Security & Network Engineer	Germany de	information-and-network-security Spree Commerce	robotsllmsaihumans	email phone	none
zonepatch.de ↗	68 match 1 shared topics	ZonePatch: Innovative Solutions for Network Security and IT Infrastructure	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
normiks.de ↗	67 match 1 shared topics	Normiks – Informationssicherheit Datenschutz Compliance IT Security Kritis Tisax®	Germany de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
aidnt.com.br ↗	67 match 1 shared topics	AID-NETWORK-SECURITY	Brazil de	information-and-network-security	robotsllmsaihumans	emailphone	none
cybercontact.at ↗	67 match 1 shared topics	Managed Security Services - Informationssicherheit im Unternehmen	Austria de	information-and-network-security Contao	robotsllmsaihumans	emailphone	none
primemonitor.de ↗	66 match 1 shared topics	PrimeMonitor: Expert IT Security & Network Monitoring Solutions	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
ottenheimer.app ↗	66 match 1 shared topics	Ottenheimer GmbH — Informationssicherheit	de	information-and-network-security	robotsllmsaihumans	emailphone	none
businesscomputers.ch ↗	66 match 1 shared topics	MOUNT10 AG – SIAG Secure Infostore AG – Ihre Privatbank für digitale Informationen	Switzerland de	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
memyc.org ↗	65 match 1 shared topics	Privacy Security Europe – Neuer Weg	de	information-and-network-security	robotsllmsaihumans	emailphone	none
km-security.at ↗	65 match 1 shared topics	KM Security	Austria de	information-and-network-security	robotsllmsaihumans	emailphone	none
bee-security.at ↗	65 match 1 shared topics	Bee Security	Austria de	information-and-network-security	robotsllmsaihumans	email phone	none
bee-itsecurity.at ↗	65 match 1 shared topics	Bee Security	Austria de	information-and-network-security	robotsllmsaihumans	email phone	none
netwocon.de ↗	65 match 1 shared topics	NetwoCon - Netzwerk- und Security-Lösungen	Germany de	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
ub-kaisen.com ↗	65 match 1 shared topics	Digitale Transformation, M365 (Modern Workplace, Security & Compliance), Datenschutz	de	information-and-network-security	robotsllmsaihumans	emailphone	none
csa-on.net ↗	65 match 1 shared topics	CSA-ON.NET – Cyber Security Awareness	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
nonstop-computing.de ↗	65 match 1 shared topics	TWINSOFT – IT Security Beratung für Unternehmen	Germany de	information-and-network-security WordPress	robotsllmsaihumans	email phone	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.