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Sites similar to privacyfoundation.de

Privacyfoundation alternatives & similar sites

German Privacy Foundation: Aktuelles — 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
privacy-design.de ↗	65 match 1 shared topics	Startseite \| privacy/design	Germany de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
priware.de ↗	64 match 1 shared topics	Priware - Data Privacy Compliance Guard	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
privacy-handbuch.de ↗	64 match 1 shared topics	Privacy-Handbuch	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
privacycompany.de ↗	64 match 1 shared topics	Privacy Company \| Building a Privacy-First World	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
memyc.org ↗	64 match 1 shared topics	Privacy Security Europe – Neuer Weg	de	information-and-network-security	robotsllmsaihumans	emailphone	none
enzkreis-im-quadrat.de ↗	63 match 1 shared topics	BelWü PrivateBin	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
privacy-by-design.de ↗	63 match 1 shared topics	Privacy by Design - Wissenschaftliche Beiträge zum Thema	Germany de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
ebertz-datenschutz.de ↗	63 match 1 shared topics	EBERTZ DATENSCHUTZ \| Ihr Datenschutzberater, AI Privacy Expert und ISMS / NIS-2 Berater	Germany de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
ehlermann.de ↗	63 match 1 shared topics	Ehlermann	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
privacyxperts.de ↗	62 match 1 shared topics	PrivacyXperts - Datenschutzlösungen & Fachwissen	Germany de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
privacyxperts-info.de ↗	62 match 1 shared topics	PrivacyXperts - Datenschutzlösungen & Fachwissen	Germany de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
privacy-xperts.de ↗	62 match 1 shared topics	PrivacyXperts - Datenschutzlösungen & Fachwissen	Germany de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
entwicklerboerse.de ↗	62 match 1 shared topics	PrivateKeys™	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
ecos.de ↗	62 match 1 shared topics	Cybersecurity Made in Germany - PKI - Remote Work	Germany de	information-and-network-security TYPO3	robotsllmsaihumans	emailphone	none
priolan.de ↗	62 match 1 shared topics	Datenschutz und Informationssicherheit - PRIOLAN GmbH	Germany de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
erik-nellessen.de ↗	62 match 1 shared topics	Erik Nellessen Consulting	Germany de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
purple22.de ↗	62 match 1 shared topics	purple22 Information Security	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
dsaudit.de ↗	62 match 1 shared topics	S.E.S. Mayer – Information	Germany de	information-and-network-security Joomla	robotsllmsaihumans	email phone	partial · 2

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.