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Gamified Cybersecurity Awareness Training Platform | Drip⁷ — 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
cybr.ai ↗	73 match 2 shared topics	CYBR \| Security Awareness Training For The Next Generation	en	information-and-network-security Wix	robots llmsaihumans	emailphone	none
zybertrain.com ↗	72 match 2 shared topics	Zybertrain - AI-Powered Security Awareness Training	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ctrlsec.io ↗	72 match 2 shared topics	CtrlSec — AI-Powered Cybersecurity Platform	IN~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybervantage.tech ↗	71 match 2 shared topics	CyberVantage - Enterprise Security Training Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hauberk-ai.com ↗	71 match 2 shared topics	Hauberk AI — AI-Powered Cybersecurity Platform \| Armadillo Security Operations	PS~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
perisai.co.id ↗	70 match 2 shared topics	Peris.ai \| Agentic-AI Cybersecurity Platform	ID en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberdeck.help ↗	70 match 2 shared topics	CyberDeck – AI Cybersecurity Training, Attack Simulations & Hands-On Labs	en	information-and-network-security	robotsllmsaihumans	emailphone	none
userecoaiteam.com ↗	70 match 2 shared topics	AI Agent Security Platform \| Reco	en	information-and-network-security	robotsllmsaihumans	emailphone	none
joinrecoaiteam.com ↗	70 match 2 shared topics	AI Agent Security Platform \| Reco	en	information-and-network-security	robotsllmsaihumans	emailphone	none
usehunto.com ↗	69 match 2 shared topics	Autonomous AI Agents for Cybersecurity \| Hunto AI	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
plaidnox.com ↗	69 match 2 shared topics	PlaidNox - AI-Powered Enterprise Cybersecurity Platform	en	information-and-network-security	robots llmsaihumans	emailphone	none
usesingularityit.com ↗	69 match 2 shared topics	Singularity-IT™ \| AI-Powered Cybersecurity & Compliance Platform	US~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
bcyber.com.au ↗	68 match 2 shared topics	BCyber \| AI-Powered Cybersecurity & GRC Solutions for Australian Businesses	AU en	information-and-network-security	robots llmsaihumans	emailphone	none
faltroxsecurity.com ↗	68 match 2 shared topics	Faltrox Security \| AI-Powered Cybersecurity Services	IN~ en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
updatescoram.com ↗	68 match 2 shared topics	Coram: Unified Physical Security Platform	en	information-and-network-security	robots llmsaihumans	emailphone	none
uvcheerful.com ↗	68 match 2 shared topics	UVCheerful \| AI, Cybersecurity, Software Development & IT Training in Bangalore	en	information-and-network-security	robotsllmsaihumans	emailphone	none
abijitharun.dev ↗	68 match 2 shared topics	Abijith Arun \| Cybersecurity & Cloud Specialist	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
diem360.com ↗	68 match 2 shared topics	Diem360 \| AI-Powered Cybersecurity Intelligence	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.