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H2Infosec alternatives & similar sites

H2 INFOSEC — 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
cyberdefenselab.info ↗	66 match 2 shared topics	CyberDefenseLab \| Professional Cybersecurity Training & Certification	en	information-and-network-security	robotsllmsaihumans	emailphone	none
remnantsecurity.com ↗	64 match 2 shared topics	Remnant Security - Cybersecurity Career Training	en	information-and-network-security	robotsllmsaihumans	emailphone	none
myriadinfosec.com ↗	64 match 2 shared topics	Myriad InfoSec - Professional Cybersecurity & IT Training	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberreadysecurity.info ↗	64 match 2 shared topics	Cybersecurity Training \| Information Security \| Lanham, MD	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
aisacademy.com.au ↗	64 match 2 shared topics	Australian Information Security Academy \| Sovereign Cyber Training	Australia en	information-and-network-security	robotsllmsaihumans	emailphone	none
getsecuritycertified.com ↗	64 match 2 shared topics	Home - CertifyIT Academy	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
kenimacybersecurity.com ↗	64 match 2 shared topics	Kenima Cybersecurity \| MSSP Services & Cybersecurity Training	en	information-and-network-security Lightspeed	robotsllmsaihumans	emailphone	none
cybercohorts.org ↗	63 match 2 shared topics	CyberCohorts	en	information-and-network-security	robotsllmsaihumans	emailphone	none
advarix.global ↗	63 match 2 shared topics		en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybercorpllc.org ↗	63 match 2 shared topics	CyberCorp LLC	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberdefenders.org ↗	63 match 2 shared topics	Blue Team Training for SOC Analysts & DFIR - CyberDefenders	en	information-and-network-security	robotsllmsaihumans	emailphone	none
2abassociates.com ↗	63 match 2 shared topics	2AB & Associates - Governance, Management and Information Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberskillway.pro ↗	63 match 2 shared topics	cyberskillway – Leading IT Security Awareness & Training in Singapore	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mind-hubly.digital ↗	63 match 2 shared topics	Cyber defence training \| Mind Hubly Cyber Academy	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybermaxix.best ↗	63 match 2 shared topics	CyberMaxix \| IT Security & Cyber Awareness Training Singapore	en	information-and-network-security	robotsllmsaihumans	emailphone	none
gisacouncil.com ↗	63 match 2 shared topics	Advance Your Cybersecurity Career with GISA Council	en	information-and-network-security	robotsllmsaihumans	emailphone	none
responseconfirmation.com ↗	63 match 2 shared topics	Security Awareness Training, Managed for You \| Symbol	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberansafe.vip ↗	63 match 2 shared topics	CyberaNSafe — IT Security Awareness & Cyber Literacy Training	en	information-and-network-security	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.