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Secitas alternatives & similar sites

SecITAS – Secure IT Andreas Schneider — 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
vaulttext.ch ↗	67 match 1 shared topics	VaultText – Secure Message & File Sharing	Switzerland de	information-and-network-security	robotsllmsaihumans	emailphone	none
purple22.de ↗	66 match 1 shared topics	purple22 Information Security	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
pka.de ↗	65 match 1 shared topics	PKA – Secure Networking – PKA Secure Networking	Germany de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
porxy.de ↗	65 match 1 shared topics	Inside Security GmbH	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
deske-cnc.com ↗	65 match 1 shared topics	DESKE-CNC \| Stay Secure. Stay Informed.	de	information-and-network-security	robotsllmsaihumans	emailphone	none
positronix.de ↗	65 match 1 shared topics	PositroniX Cyber Security	Germany de	information-and-network-security Weebly	robotsllmsaihumans	emailphone	none
sayedy.com ↗	65 match 1 shared topics	Sayed Sayedy \| Cybersecurity · KI-Sicherheit · Interkultur	de	information-and-network-security WordPress	robots llmsaihumans	emailphone	full · 10
mk-cc.de ↗	65 match 1 shared topics	Datenschutzberatung Oberfranken - Der Pragmatiker - Datenschutz, Compliance, Informationssicherheit	Germany de	information-and-network-security Weebly	robotsllmsaihumans	emailphone	none
mka-sec.de ↗	65 match 1 shared topics	Moritz Kaumanns IT Security \| IT-Sicherheit aus Offenburg	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
more-secure.de ↗	64 match 1 shared topics	More Secure	Germany de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
schwarzsecurity.com ↗	64 match 1 shared topics	CLEMENS SCHWARZ - Digital Security . Resilience . Ethics	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
oliver-froehlich.de ↗	64 match 1 shared topics	Oliver Willi Fröhlich \| IT System and Security Engineer	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
owfroehlich.de ↗	64 match 1 shared topics	Oliver Willi Fröhlich \| IT System and Security Engineer	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
priolan.de ↗	64 match 1 shared topics	Datenschutz und Informationssicherheit - PRIOLAN GmbH	Germany de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
schutzwerk.com ↗	64 match 1 shared topics	SCHUTZWERK \| Penetrationstests, Red Teaming & Embedded Security	Germany~ de	information-and-network-security	robotsllmsaihumans	email phone	none
pma-gmbh.de ↗	64 match 1 shared topics	PMA IT-Security - PMA GmbH - IT Security	Germany de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
pusch-bits.de ↗	64 match 1 shared topics	Andreas Pusch - IT-Security & Software Development	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
onkoconsult.de ↗	64 match 1 shared topics	LAURENTIS – Datensicherheit im Gesundheitswesen	Germany de	information-and-network-security	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.