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Krüger – IT Forensic and Security Consulting – Krüger IT Forensic and Security Consulting — 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
csecure.de ↗	67 match 1 shared topics	Csecure - IT-Security Consulting & Integration	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
aymanel.de ↗	66 match 1 shared topics	Ayman El Ouariachi – IT-Security Consultant	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
atfence.de ↗	66 match 1 shared topics	Startseite - atfence - Cyber Security Consulting	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
anjamentrup.de ↗	66 match 1 shared topics	Information Security – Dr. Anja Mentrup, Consulting	Germany de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
consultinghamstein.com ↗	66 match 1 shared topics	Hamstein Consulting - IT-Security Experts	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cscpauly.de ↗	66 match 1 shared topics	CSC Pauly - Cyber Security Consultant	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
hl-consulting.ch ↗	66 match 1 shared topics	HL-Consulting - Microsoft 365 \| IT-Consulting	Switzerland de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cyberark.cologne ↗	66 match 1 shared topics	GCON GmbH - IT Consulting, Management & Security Sevices	de	information-and-network-security	robotsllmsaihumans	emailphone	none
cwcon.de ↗	65 match 1 shared topics	HOME - Carlos Wagner Consulting Services Security	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
basics4net.ch ↗	65 match 1 shared topics	basics4net \| IT & OT Security & Forensics	Switzerland de	information-and-network-security	robotsllmsaihumans	emailphone	none
daniel-berlin.de ↗	65 match 1 shared topics	Daniel Berlin on Security – SAP Security & Authorizations, IT Audit… and all the rest	Germany de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	full · 20
critsecurity.ch ↗	65 match 1 shared topics	CritSecurity – Cybersecurity Services \| Safe – Simple – Honest	Switzerland de	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
daseq.de ↗	65 match 1 shared topics	DASEQ GmbH - Cybersecurity, Consulting, Training	Germany de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
asecurity.ch ↗	65 match 1 shared topics	A-Security Home - A-Security	Switzerland de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
a-security.ch ↗	65 match 1 shared topics	A-Security Home - A-Security	Switzerland de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
eisa-projekt.ch ↗	65 match 1 shared topics	Cyber-Security mit ICT-Security Audits	Switzerland de	information-and-network-security	robotsllmsaihumans	emailphone	none
cvbraeuer.de ↗	65 match 1 shared topics	Claudio Bräuer – Information and network security	Germany de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
sicherheits-papier.com ↗	64 match 1 shared topics	Sicherheitspapiere / Security Papier / Security Paper - Sicherheitspapier	de	information-and-network-security WordPress WooCommerce	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.