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Nanio alternatives & similar sites

Codepurple: Cyberscurity Experten — 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
codepurple.ch ↗	100 match 1 shared topics	Codepurple: Cyberscurity Experten	Switzerland de	information-and-network-security	robotsllmsaihumans	email phone	none
godwin.ch ↗	68 match 1 shared topics	Godwin \| Cybersecurity	Switzerland de	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
cybersecuritysolutions.ch ↗	68 match 1 shared topics	Cyber Security Solutions	Switzerland de	information-and-network-security	robotsllmsaihumans	emailphone	none
prismatechno.com ↗	68 match 1 shared topics	IT-Analysen und Cybersecurity Entwicklungen	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	partial · 8
data-pie.ch ↗	67 match 1 shared topics	Data Pie Cybersecurity - IT-Sicherheit für die Schweiz	Switzerland de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
ddos-test.ch ↗	67 match 1 shared topics	Security Limit Test für maximale Cyber Resilienz ✅	Switzerland de	information-and-network-security	robotsllmsaihumans	email phone	none
7nine-solutions.com ↗	67 match 1 shared topics	7Nine-Solutions \| Cybersecurity	de	information-and-network-security Wix	robotsllmsaihumans	emailphone	none
eisa-projekt.ch ↗	67 match 1 shared topics	Cyber-Security mit ICT-Security Audits	Switzerland de	information-and-network-security	robotsllmsaihumans	emailphone	none
diefiregate.ch ↗	67 match 1 shared topics	Firegate™ Cybersecurity Box \| Netzwerksicherheit ohne Cloud	Switzerland de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
boncy.ch ↗	66 match 1 shared topics	boncy.ch \| Cybersecurity für Schweizer Unternehmen	Switzerland de	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
cyber-competence.center ↗	66 match 1 shared topics	Cyber Competence Center - Wissen vermitteln - von Experten	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
trivter.com ↗	66 match 1 shared topics	Inside Security GmbH	de	information-and-network-security	robotsllmsaihumans	emailphone	none
analog-bit.com ↗	66 match 1 shared topics	Analog Bit IT-Security	de	information-and-network-security	robotsllmsaihumans	emailphone	none
apexcybersolutions.ch ↗	66 match 1 shared topics	Apex Cyber Solutions AG \| Security	Switzerland de	information-and-network-security Wix	robots llmsaihumans	emailphone	none
cyberproviders.ch ↗	66 match 1 shared topics	CyberProviders.ch – Geprüfte Cybersecurity-Firmen in der Schweiz	Switzerland de	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberconference.schwarz ↗	66 match 1 shared topics	Startseite \| Cyber Security Conference 2026 by Schwarz Digits	de	information-and-network-security	robotsllmsaihumans	emailphone	none
cyber-security.versicherung ↗	66 match 1 shared topics	IT-Sicherheit - Mivisio - Cyber Security und Versicherungen	de	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
milesguard.ch ↗	66 match 1 shared topics	Cybersecurity für Schweizer KMU \| MilesGuard GmbH	Switzerland de	information-and-network-security	robots llmsaihumans	emailphone	full · 6

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.