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ThoroHawk Cybersecurity Consulting LLC — 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
1strespondercyber.com ↗	76 match 1 shared topics	1stresponder \| Cybersecurity Consulting	en	information-and-network-security Wix	robots llmsaihumans	emailphone	none
gamcybernet.com ↗	75 match 1 shared topics	GamCyberNet \| cybersecurity consulting firm	en	information-and-network-security Wix	robots llmsaihumans	emailphone	none
aardsec.com ↗	75 match 1 shared topics	Expert Cybersecurity Consulting in Cape Town	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bovelljack.com ↗	74 match 1 shared topics	Cybersecurity & Technology Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
alien-consulting.net ↗	74 match 1 shared topics	Alien Security Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
2cr.io ↗	74 match 1 shared topics	Home - 2CR LLC Cyber Security Consulting	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
tiagoteles.com ↗	74 match 1 shared topics	Tiago Teles — Cybersecurity Consulting & Training	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
dgitc.com ↗	74 match 1 shared topics	Home - DGITC CyberSecurity Consultancy	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
mittol.cloud ↗	73 match 1 shared topics	Mittol Cloud - Cybersecurity Consultancy	en	information-and-network-security	robotsllmsaihumans	emailphone	none
simplylocalkudos.com ↗	73 match 1 shared topics	CyberStar IT \| Vendor-Agnostic Cybersecurity Consulting	en	information-and-network-security	robots llmsaihumans	emailphone	full · 11
smartcyberstarit.net ↗	73 match 1 shared topics	CyberStar IT \| Vendor-Agnostic Cybersecurity Consulting	en	information-and-network-security	robots llmsaihumans	emailphone	full · 11
cm-alliance.com ↗	73 match 1 shared topics	Cyber Security Training and Cybersecurity Consulting UK	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
cybermanagementalliance.business ↗	73 match 1 shared topics	Cyber Security Training and Cybersecurity Consulting UK	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
cyberm-alliance.sbs ↗	73 match 1 shared topics	Cyber Security Training and Cybersecurity Consulting UK	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
cybermanagementalliance.sbs ↗	73 match 1 shared topics	Cyber Security Training and Cybersecurity Consulting UK	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
cybermanagementalliance.world ↗	73 match 1 shared topics	Cyber Security Training and Cybersecurity Consulting UK	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
cyber-management-alliance.business ↗	73 match 1 shared topics	Cyber Security Training and Cybersecurity Consulting UK	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
cybermgtalliance.one ↗	73 match 1 shared topics	Cyber Security Training and Cybersecurity Consulting UK	en	information-and-network-security HubSpot	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.