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Finn Siebert | blog über IT-Sicherheit und co — 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
global-sec.at ↗	70 match 1 shared topics	GLOBALSEC – IT-Sicherheit und Datenschutz	Austria de	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
medienkompetenz.digital ↗	69 match 1 shared topics	it-Sicherheit	de	information-and-network-security	robotsllmsaihumans	emailphone	none
datadefenders.eu ↗	69 match 1 shared topics	Data Defenders - IT-Sicherheit und Datenschutz	European Union de	information-and-network-security	robotsllmsaihumans	emailphone	none
data-defenders.eu ↗	69 match 1 shared topics	Data Defenders - IT-Sicherheit und Datenschutz	European Union de	information-and-network-security	robotsllmsaihumans	emailphone	none
net-e.de ↗	68 match 1 shared topics	Ihr Partner für IT-Sicherheit im Unternehmen!	Germany de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
nfits.de ↗	68 match 1 shared topics	Nachwuchsförderung IT-Sicherheit	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
24awareness.com ↗	68 match 1 shared topics	IntraCast – Ihr IT-Sicherheits-Podcast	de	information-and-network-security	robotsllmsaihumans	emailphone	none
gsnde.com ↗	67 match 1 shared topics	GSNDE - IT-Management & IT-Sicherheit	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
solbytech.at ↗	67 match 1 shared topics	solbytech - IT-Sicherheit & Cyber Security Analytics	Austria de	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
nuel.me ↗	67 match 1 shared topics	Ihre Experten für IT-Forensik & IT-Sicherheit in Köln	de	information-and-network-security Joomla	robotsllmsaihumans	email phone	none
nuel.org ↗	67 match 1 shared topics	Ihre Experten für IT-Forensik & IT-Sicherheit in Köln	de	information-and-network-security Joomla	robotsllmsaihumans	email phone	none
cyberrange.at ↗	67 match 1 shared topics	Cyber Range Training: Professionelle IT-Sicherheit	Austria de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cyber-range.at ↗	67 match 1 shared topics	Cyber Range Training: Professionelle IT-Sicherheit	Austria de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
nerosoft.de ↗	66 match 1 shared topics	NEROSOFT IT-Security: Ihr Systemhaus für IT-Sicherheit	Germany de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
guardian-tech.org ↗	66 match 1 shared topics	Innovative IT-Sicherheit für Ihren Erfolg \| GuardianTech	de	information-and-network-security	robotsllmsaihumans	emailphone	none
nilsdomin.de ↗	66 match 1 shared topics	Nils Domin – Datenschutz- und IT-Sicherheitsberatung \| Startseite	Germany de	information-and-network-security	robots llmsaihumans	email phone	none
atyet-dfir.com ↗	66 match 1 shared topics	IT-Sicherheit, Incident Response und Datenschutz seit 2002 \| @-yet	de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
chromebooks.at ↗	66 match 1 shared topics	Digitale Lösungen, Datenschutz & IT-Sicherheit aus einer Hand	Austria 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.