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SCAHF - Security Partnership Excellence — 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
cyphlon.com ↗	73 match 1 shared topics	Cyphlon - Your Cybersecurity Partner	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1cybervalley.com ↗	72 match 1 shared topics	1 Cyber Valley \| Trusted Cybersecurity Partner	en	information-and-network-security HubSpot	robots llmsaihumans	emailphone	none
cybex-360.com ↗	72 match 1 shared topics	Your Reliable Security Partner - Cybex 360	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
cyberassure.one ↗	71 match 1 shared topics	CyberAssure: Your Trusted Cybersecurity Partner.	en	information-and-network-security WordPress	robots llmsaihumans	email phone	none
digitalsecurity.network ↗	71 match 1 shared topics	Eastern Partnership Digital Security Practitioners Network - The Network	en	information-and-network-security	robotsllmsaihumans	emailphone	none
thinklikeaciso.com ↗	70 match 1 shared topics	Think Like A CISO - Security Leadership Scenarios	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aib-partners.com ↗	70 match 1 shared topics	AIB Partners LLC \| Cybersecurity Consulting	en	information-and-network-security Wix	robots llmsaihumans	emailphone	none
devildogcyber.com ↗	70 match 1 shared topics	DevilDog Cybersecurity	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybershieldglobal.tech ↗	70 match 1 shared topics	CyberShield \| Enterprise Security Expert	en	information-and-network-security	robotsllmsaihumans	emailphone	none
advnce.app ↗	70 match 1 shared topics	ADVNCE - Security Operations	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ahirix.com ↗	69 match 1 shared topics	Ahirix — Your Cybersecurity Partner. Further. Together.	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
3si.com ↗	69 match 1 shared topics	3Si Security Systems - Actionable crime intelligence	en	information-and-network-security WordPress	robots llmsaihumans	email phone	none
3sisecurity.com ↗	69 match 1 shared topics	3Si Security Systems - Actionable crime intelligence	en	information-and-network-security WordPress	robots llmsaihumans	email phone	none
savageoperationssecurity.com ↗	69 match 1 shared topics	SAVAGE OPERATIONS SECURITY (SOS)	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
agt-technology.com ↗	69 match 1 shared topics	AGT German Cyber Security	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cybersecuritydatagovernance.net ↗	69 match 1 shared topics	Steel Patriot Partners \| Cybersecurity & Compliance Experts	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
cybersecuritydatagovernance.org ↗	69 match 1 shared topics	Steel Patriot Partners \| Cybersecurity & Compliance Experts	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
demystifysecurity.com ↗	69 match 1 shared topics	Cyber Security Partner \| Cyber Security Consultancy \| Demystify Security Ltd	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.