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Nimbusec alternatives & similar sites

Nimbusec – Website Security & Compliance — 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
sequrio.com ↗	71 match 1 shared topics	sequrio · The Digital Security & Compliance Group	de	information-and-network-security	robotsllmsaihumans	email phone	none
ub-kaisen.com ↗	68 match 1 shared topics	Digitale Transformation, M365 (Modern Workplace, Security & Compliance), Datenschutz	de	information-and-network-security	robotsllmsaihumans	emailphone	none
bee-security.at ↗	67 match 1 shared topics	Bee Security	Austria de	information-and-network-security	robotsllmsaihumans	email phone	none
bee-itsecurity.at ↗	67 match 1 shared topics	Bee Security	Austria de	information-and-network-security	robotsllmsaihumans	email phone	none
normiks.de ↗	67 match 1 shared topics	Normiks – Informationssicherheit Datenschutz Compliance IT Security Kritis Tisax®	Germany de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
inside-security.eu ↗	67 match 1 shared topics	Inside Security GmbH	European Union de	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberpri.me ↗	67 match 1 shared topics	cyberpri.me – Informationssicherheit & Compliance	de	information-and-network-security	robotsllmsaihumans	emailphone	none
cybershields.pro ↗	67 match 1 shared topics	Cyber Shield – Compliance Dashboard	de	information-and-network-security	robots llmsaihumans	emailphone	none
cybersecurity.ch ↗	67 match 1 shared topics	Cybersecurity.ch - Schweizer Cyber-Resilienz und Compliance	Switzerland de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
a-team.rocks ↗	67 match 1 shared topics	A-Team Rocks – Cyber Security – Beyond Compliance. Protecting Your World, Rock by Rock.	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cybersecuritycompetencegroup.ch ↗	67 match 1 shared topics	CSCG.ch – Cyber Security Competence Group CH	Switzerland de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
nis2-checkup.de ↗	67 match 1 shared topics	Herzlich Willkommen \| nordsec Privacy & Compliance GmbH	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
nis2-info.de ↗	67 match 1 shared topics	Herzlich Willkommen \| nordsec Privacy & Compliance GmbH	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
net-defense.de ↗	66 match 1 shared topics	Achim Schmidt – IT Security & Network Engineer	Germany de	information-and-network-security Spree Commerce	robotsllmsaihumans	email phone	none
neonsec.de ↗	66 match 1 shared topics	NEON – Information Security GmbH	Germany de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
flydata.eu ↗	66 match 1 shared topics	Flydata IT – Enterprise Security	European Union de	information-and-network-security	robotsllmsaihumans	email phone	none
km-security.at ↗	66 match 1 shared topics	KM Security	Austria de	information-and-network-security	robotsllmsaihumans	emailphone	none
memyc.org ↗	66 match 1 shared topics	Privacy Security Europe – Neuer Weg	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.