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Brevora | Security Training Built for 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
asincora.com ↗	73 match 1 shared topics	Cybersecurity Compliance, Training & Automation \| asyncura	en	information-and-network-security	robotsllmsaihumans	emailphone	none
asinkora.com ↗	73 match 1 shared topics	Cybersecurity Compliance, Training & Automation \| asyncura	en	information-and-network-security	robotsllmsaihumans	emailphone	none
guardgate.ai ↗	73 match 1 shared topics	Guardgate - Cleaning up security compliance	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kawacha.com ↗	72 match 1 shared topics	Kawacha — Security & Compliance for Businesses in India	en	information-and-network-security	robots llmsaihumans	emailphone	none
guardiancyber.io ↗	72 match 1 shared topics	Tim N \| Security & Compliance Specialist	en	information-and-network-security	robotsllmsaihumans	emailphone	none
growgetagency.com ↗	72 match 1 shared topics	Agency Cybersecurity \| Security and Compliance Team	en	information-and-network-security	robots llmsaihumans	emailphone	none
humzaknowbe4.com ↗	72 match 1 shared topics	Security training!	en	information-and-network-security	robotsllmsaihumans	emailphone	none
phsecuritylabs.com ↗	72 match 1 shared topics	PH Securities Lab – Elite Cybersecurity Training	en	information-and-network-security	robots llmsaihumans	emailphone	none
cm-alliance.com ↗	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.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-management-alliance.sbs ↗	72 match 1 shared topics	Cyber Security Training and Cybersecurity Consulting UK	en	information-and-network-security HubSpot	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
cybermgtalliance.one ↗	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

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.