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IT‑Security & IT‑Forensik für Unternehmen | IT‑Forensec — 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
kcyber.ch ↗	67 match 2 shared topics	Kahlke Cyber Systems \| IT-Security für KMU	Switzerland de	information-and-network-security	robotsllmsaihumans	emailphone	none
blackbox51.ch ↗	67 match 2 shared topics	Blackbox 51 GmbH – IT-Security & sichere IT-Infrastrukturen für KMUs	Switzerland de	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
it-scan.de ↗	66 match 2 shared topics	IT-Audit in Unternehmenssicherheit \| Mannheim \| IT-SCAN GmbH	Germany de	information-and-network-security	robots llmsaihumans	email phone	none
kengo.de ↗	66 match 2 shared topics	Kengo — IT & Cybersicherheit für moderne Unternehmen	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
qberos.com ↗	64 match 2 shared topics	QBEROS - Cyber Security Solutions	de	information-and-network-security Weebly	robotsllmsaihumans	email phone	none
isms-richtlinien.de ↗	64 match 2 shared topics	Gray-Hat IT-Security Consulting Stephan H. Wenderlich	Germany de	information-and-network-security	robots llmsaihumans	emailphone	none
isms-begleitung.de ↗	64 match 2 shared topics	Gray-Hat IT-Security Consulting Stephan H. Wenderlich	Germany de	information-and-network-security	robots llmsaihumans	emailphone	none
it-security-champion.de ↗	64 match 2 shared topics	PORTFORMANCE: IT-Sicherheit & Managed Security Services	Germany de	information-and-network-security Webflow	robotsllmsaihumans	emailphone	none
it-seecurity.de ↗	64 match 2 shared topics	IT-Seecurity - IT-Seecurity	Germany de	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
eisenhuth.net ↗	64 match 2 shared topics	IT-Sicherheit für den Mittelstand - EISENHUTH.NET	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cyberrisikocheck.ch ↗	64 match 2 shared topics	Büro für IT-Cybersicherheit - Der IT-Cyber-Risko-Check - Alle Informationen	Switzerland de	information-and-network-security	robotsllmsaihumans	emailphone	none
jo-soft.de ↗	63 match 2 shared topics	Start - Jo Soft IT-Security GmbH	Germany de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
minedata.ch ↗	63 match 2 shared topics	MineData GmbH – Cybersecurity, Digitalisierung & FinOps	Switzerland de	information-and-network-security	robots llmsaihumans	email phone	partial · 4
johannes-schroeder.de ↗	62 match 2 shared topics	Datenschutz - abebo IT-Lösungen	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
ismsberatung.de ↗	62 match 2 shared topics	Cybersicherheit für KMUs mit Augenmaß in NRW.	Germany de	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
iso27001-umsetzung.de ↗	62 match 2 shared topics	Cybersicherheit für KMUs mit Augenmaß in NRW.	Germany de	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
it-risikobewertung.de ↗	62 match 2 shared topics	IT-Sicherheit \| Adaptron GmbH	Germany de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
1fiss.com ↗	62 match 2 shared topics	Home	de	information-and-network-security Joomla	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.