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ctipilot.ch — Switzerland, Europe & Public Sector — 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
cyberdefence.scot ↗	67 match 1 shared topics	Cyber Security Scotland, Supporting the Public Sector build secure services	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cybersecurity.scot ↗	67 match 1 shared topics	Cyber Security Scotland, Supporting the Public Sector build secure services	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
authid.ch ↗	67 match 1 shared topics	AuthID Certificates \| XNX Switzerland	Switzerland en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberhub.global ↗	67 match 1 shared topics	CYBER:HUB - Based in Zurich, Switzerland - Home	en	information-and-network-security	robotsllmsaihumans	emailphone	none
configmgr.ch ↗	66 match 1 shared topics	Workplace Ninjas UG Switzerland	Switzerland en	information-and-network-security	robotsllmsaihumans	emailphone	none
onevisage.com ↗	66 match 1 shared topics	OneVisage \| cybersecurity \| Switzerland	en	information-and-network-security Wix	robots llmsaihumans	emailphone	none
cybersecurityswitzerland.com ↗	66 match 1 shared topics	CybersecuritySwitzerland.com — Red Team Knowledge Base	en	information-and-network-security	robots llmsaihumans	emailphone	none
kausok-co.com ↗	65 match 1 shared topics	Cairn — Security you can rest on	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyllective.net ↗	65 match 1 shared topics	cyllective AG - IT Security Services // Pentest Switzerland	Switzerland~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyllective.org ↗	65 match 1 shared topics	cyllective AG - IT Security Services // Pentest Switzerland	Switzerland~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
darkvectorops.com ↗	65 match 1 shared topics	Dark Vector	en	information-and-network-security	robots llmsaihumans	emailphone	none
ddosreport.io ↗	65 match 1 shared topics	SOCRadar Threat Platform - DDoS Threat Intelligence - European Cyber Threat Monitor	en	information-and-network-security	robotsllmsaihumans	emailphone	none
eudiso.org ↗	65 match 1 shared topics	EUDISO — European Digital Sovereignty Initiative	en	information-and-network-security	robotsllmsaihumans	emailphone	none
viocyber.com ↗	65 match 1 shared topics	VioCyber // Initializing — Unified Security Operations	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
darkehullor.com ↗	65 match 1 shared topics	Darke Hull of Portland – Cybersecurity Professional & Public Safety Advocate	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cybrain.tech ↗	64 match 1 shared topics	Nerd@Heart — Cybersecurity Intelligence & Advisory	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xdelta.org ↗	64 match 1 shared topics	0xD3lta Research — Offensive & Defensive Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberv19.org.uk ↗	64 match 1 shared topics	CV19 - Protecting and Responding for our public services.	United Kingdom en	information-and-network-security WordPress	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.