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Danielhabern alternatives & similar sites

Daniel Habern — 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
medizin-informatik.org ↗	62 match 1 shared topics	Bernd Schuetze	de	information-and-network-security	robotsllmsaihumans	emailphone	full · 20
handl-consulting.at ↗	62 match 1 shared topics	SAP Security Consulting - Michael Handl - Home	Austria de	information-and-network-security	robotsllmsaihumans	emailphone	none
christianthiel.com ↗	61 match 1 shared topics	Dr. Christian Thiel (Homepage)	de	information-and-network-security	robotsllmsaihumans	emailphone	partial · 9
livehacking.at ↗	61 match 1 shared topics	Marco Di Filippo - Ethical Hacker, Cyber Security Expert, IT-Security Speaker	Austria de	information-and-network-security	robotsllmsaihumans	email phone	none
nielsmenke.de ↗	61 match 1 shared topics	Niels Menke \| CISSP \| Project Manager \| Consultant	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
nmenke.de ↗	61 match 1 shared topics	Niels Menke \| CISSP \| Project Manager \| Consultant	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
nielsfliedner.de ↗	60 match 1 shared topics	Niels Fliedner - niels.fliedner@gmx.de GPG Fingerprint: E935 3176 ED50 1533 01B0 D0AD 1787 9362 8F33 6E07	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
corex.at ↗	60 match 1 shared topics	COREX	Austria de	information-and-network-security	robotsllmsaihumans	emailphone	none
tsicco.com ↗	60 match 1 shared topics	Tsicco – Sichere Dateiübertragung mit Passwortschutz \| Made in Germany	de	information-and-network-security	robotsllmsaihumans	email phone	none
craiready.ch ↗	60 match 1 shared topics	crAIready — Ihr Weg durch den EU Cyber Resilience Act	Switzerland de	information-and-network-security	robotsllmsaihumans	emailphone	none
pii-cloak.com ↗	60 match 1 shared topics	pii-cloak — DSGVO-konformer KI-Proxy \| Kundendaten automatisch pseudonymisieren	Germany~ de	information-and-network-security	robotsllmsaihumans	emailphone	none
piicloak.com ↗	60 match 1 shared topics	pii-cloak — DSGVO-konformer KI-Proxy \| Kundendaten automatisch pseudonymisieren	Germany~ de	information-and-network-security	robotsllmsaihumans	emailphone	none
openvas.at ↗	60 match 1 shared topics	Vulnerability Management \| Open Source and GDPR-compliant	Austria de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
nordcs.de ↗	60 match 1 shared topics	NORDCS - Home	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
nova-star.de ↗	60 match 1 shared topics	- NovaStar	Germany de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
a7s.ch ↗	60 match 1 shared topics	Automatis GmbH – IT-Sicherheit, Monitoring & KI-Beratung \| a7s.ch	Switzerland de	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
netzbeweis.at ↗	60 match 1 shared topics	NetzBeweis - NetzBeweis \| Beweissicherung im Internet	Austria de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
qgroup.net ↗	60 match 1 shared topics	QGroup Cybersicherheit	de	information-and-network-security	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.