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IT-Sicherheit für den Mittelstand | Beratung und Umsetzung | aroundsec — 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
antileaks.de ↗	76 match 1 shared topics	ANTILEAKS.DE – IT-Sicherheit für den Mittelstand	Germany de	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
it-sdm.de ↗	71 match 1 shared topics	IT-Sicherheits- und Datenschutzberatung Mittelhessen	Germany de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
admijalo.de ↗	70 match 1 shared topics	Admijalo – Cybersicherheit für Unternehmen	Germany de	information-and-network-security	robotsllmsaihumans	email phone	none
aj-velop.de ↗	70 match 1 shared topics	Admijalo – Cybersicherheit für Unternehmen	Germany de	information-and-network-security	robotsllmsaihumans	email phone	none
esicherheit.net ↗	69 match 1 shared topics	IT-Sicherheitsberatung \| deutschlandweit \| solutionIT GmbH	de	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
cybersinn.ch ↗	69 match 1 shared topics	Cybersinn : IT-Sicherheit für Unternehmen	Switzerland de	information-and-network-security	robotsllmsaihumans	emailphone	none
it-floss.de ↗	69 match 1 shared topics	Beratung für Datenschutz & Informationssicherheit - Floß	Germany de	information-and-network-security Contao	robotsllmsaihumans	emailphone	none
4seti.de ↗	68 match 1 shared topics	IT-Sicherheit in Göppingen \| 4SETI – Cyberrisiken minimieren	Germany de	information-and-network-security	robotsllmsaihumans	email phone	none
aggeris-it.de ↗	68 match 1 shared topics	aggeris GmbH ‒ it-sicherheitsberatung	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
data-pie.ch ↗	68 match 1 shared topics	Data Pie Cybersecurity - IT-Sicherheit für die Schweiz	Switzerland de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
itforlife.de ↗	68 match 1 shared topics	Konzept 17 GmbH \| Gesellschaft für Datenschutz, IT-Sicherheit und Hinweisgebersystem	Germany de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cybermodellregion.nrw ↗	68 match 1 shared topics	Cybersicherheit für Unternehmen im Bergischen Städtedreieck	de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
sk-consulting.com ↗	68 match 1 shared topics	Ihr Partner für Datenschutz und IT-Sicherheit	de	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
its-konzept.de ↗	67 match 1 shared topics	IT-Sicherheit — machCon	Germany de	information-and-network-security	robotsllmsaihumans	email phone	none
aksfr.de ↗	67 match 1 shared topics	Arbeitskreis Sicherheit für Rechenzentren	Germany de	information-and-network-security TYPO3	robotsllmsaihumans	emailphone	none
it-schenk.de ↗	67 match 1 shared topics	Schenk IT – IT-Sicherheit & Vernetzung in Borken	Germany de	information-and-network-security	robotsllmsaihumans	email phone	none
if-is.net ↗	67 match 1 shared topics	HOME - Institut für Internet-Sicherheit - if(is)	de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cyber-security.versicherung ↗	67 match 1 shared topics	IT-Sicherheit - Mivisio - Cyber Security und Versicherungen	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.