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Cyber Security Awareness Training | Cybersecurity Training: CSAT Cyber Tip & Awareness Training Online | GTEver — 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
cybermaxix.best ↗	73 match 2 shared topics	CyberMaxix \| IT Security & Cyber Awareness Training Singapore	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberskillway.pro ↗	73 match 2 shared topics	cyberskillway – Leading IT Security Awareness & Training in Singapore	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberawaretrain.info ↗	72 match 2 shared topics	Cyber Aware Train — IT Security Awareness Training in さいたま市岩槻区	Japan~ en	information-and-network-security	robotsllmsaihumans	email phone	none
phishsimulation.com ↗	72 match 2 shared topics	Fyshr - Security Awareness Training Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberansafe.vip ↗	72 match 2 shared topics	CyberaNSafe — IT Security Awareness & Cyber Literacy Training	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cdcyber.org ↗	71 match 2 shared topics	CDCyber \| Elite Cyber Security Training	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberreadysecurity.info ↗	70 match 2 shared topics	Cybersecurity Training \| Information Security \| Lanham, MD	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
humanfirewall.ai ↗	70 match 2 shared topics	HumanFirewall - AI-Powered Security Awareness Training	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hackethos4u.com ↗	70 match 2 shared topics	Hackethos4U - Cybersecurity Training & VAPT Services	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hacking-lab.com ↗	70 match 2 shared topics	Hacking-Lab for Cyber Security Training	en	information-and-network-security	robotsllmsaihumans	emailphone	none
phishnmitigate.com ↗	70 match 2 shared topics	PHISH N MITIGATE - Advanced Cybersecurity Training	en	information-and-network-security	robotsllmsaihumans	emailphone	none
shadowxlab.com ↗	70 match 2 shared topics	SHADOWXLAB \| Real Cybersecurity Training with SOC Simulation & Labs	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberdefenselab.info ↗	70 match 2 shared topics	CyberDefenseLab \| Professional Cybersecurity Training & Certification	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberkraft.info ↗	70 match 2 shared topics	Cyberkraft - Elite Cyber Security Training	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
adimeo.digital ↗	70 match 2 shared topics	Cybersecurity Training \| Adimeo Digital	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersoft.academy ↗	69 match 2 shared topics	CyberSoft \| Australia's Cybersecurity Training Excellence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
icspng.com ↗	69 match 2 shared topics	Institute of Cyber Security Professionals	en	information-and-network-security	robotsllmsaihumans	emailphone	none
nylana.org ↗	69 match 2 shared topics	Is Australia Leading the Way in Cybersecurity Training? \| Nylana	Australia~ en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 1

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.