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Headcatcher | Cybersecurity Training — 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
cybersecure.wales ↗	75 match 1 shared topics	Cyber Security Training	en	information-and-network-security	robotsllmsaihumans	emailphone	none
joelgilpin.com ↗	72 match 1 shared topics	JSG \| Cybersecurity Expert	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersafelit.sbs ↗	72 match 1 shared topics	Cyber Safe Lit — Cybersecurity Training in 京都市	en	information-and-network-security	robotsllmsaihumans	email phone	none
cyberbattle.tech ↗	72 match 1 shared topics	Cyber Battle - Interactive Cybersecurity Training Game	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybermgtalliance.sbs ↗	72 match 1 shared topics	Cyber Security Training and Cybersecurity Consulting UK	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
cybermanagementalliance.world ↗	72 match 1 shared topics	Cyber Security Training and Cybersecurity Consulting UK	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
cybermanagementalliance.sbs ↗	72 match 1 shared topics	Cyber Security Training and Cybersecurity Consulting UK	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
cybermanagementalliance.business ↗	72 match 1 shared topics	Cyber Security Training and Cybersecurity Consulting UK	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
cyber-mgmt-alliance.sbs ↗	72 match 1 shared topics	Cyber Security Training and Cybersecurity Consulting UK	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
cyber-mgmt-alliance.business ↗	72 match 1 shared topics	Cyber Security Training and Cybersecurity Consulting UK	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
cyber-management-alliance.world ↗	72 match 1 shared topics	Cyber Security Training and Cybersecurity Consulting UK	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
cyberm-alliance.world ↗	72 match 1 shared topics	Cyber Security Training and Cybersecurity Consulting UK	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
cyberm-alliance.sbs ↗	72 match 1 shared topics	Cyber Security Training and Cybersecurity Consulting UK	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
cyber-management-alliance.sbs ↗	72 match 1 shared topics	Cyber Security Training and Cybersecurity Consulting UK	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
cyber-management-alliance.business ↗	72 match 1 shared topics	Cyber Security Training and Cybersecurity Consulting UK	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
cybermgtalliance.one ↗	72 match 1 shared topics	Cyber Security Training and Cybersecurity Consulting UK	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
cybersecurity-leadership.org ↗	72 match 1 shared topics	CSL \| Cybersecurity Leadership	en	information-and-network-security	robots llmsaihumans	emailphone	none
pkicybersecurity.com ↗	72 match 1 shared topics	PKI Cybersecurity	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.