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Freshsec alternatives & similar sites

Fresh Security: Like Cybersecurity, But Simple. — 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
cysentinels.com ↗	73 match 1 shared topics	cybersecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
debradcliff.com ↗	72 match 1 shared topics	Cyber Security \| DeRad Cybersecurity Publishing	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
getrunsafesecurity.com ↗	72 match 1 shared topics	Embedded Software Cybersecurity Solutions \| RunSafe Security	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
myrunsafesecurity.com ↗	72 match 1 shared topics	Embedded Software Cybersecurity Solutions \| RunSafe Security	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
enterprisesecuritytech.com ↗	72 match 1 shared topics	Cybersecurity News \| Enterprise Security Tech	en	information-and-network-security Wix	robots llmsaihumans	emailphone	none
cybersecuritypower365.com ↗	72 match 1 shared topics	CyberSecurityPower365 \| Managed Cybersecurity Services	en	information-and-network-security	robotsllmsaihumans	emailphone	none
2bware.com ↗	72 match 1 shared topics	2Bware Cybersecurity	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
deathangelsec.com ↗	72 match 1 shared topics	DeathAngel Security — Cybersecurity Services	en	information-and-network-security Gumroad	robotsllmsaihumans	emailphone	none
medmac.tech ↗	72 match 1 shared topics	Cybersecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
rennissecurity.com ↗	72 match 1 shared topics	Rennis Security \| Cybersecurity for Small Business	en	information-and-network-security	robotsllmsaihumans	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
cybermgtalliance.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.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
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
cyberm-alliance.sbs ↗	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.