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CyTech Academy - Global Cybersecurity Knowledgebase — 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
adityabhardwaj.dev ↗	72 match 2 shared topics	Aditya Bhardwaj \| Cybersecurity + Research + AI	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyn.ai ↗	71 match 2 shared topics	Cyn.Ai \| Synthetic Intelligence Cybersecurity Agents	en	information-and-network-security	robots llmsaihumans	emailphone	none
triarii.ai ↗	71 match 2 shared topics	Triarii – AI systems for cybersecurity professionals.	en	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
chaostrack.com ↗	71 match 2 shared topics	ChaosTrack \| AI Cybersecurity Preparedness & Response	en	information-and-network-security	robots llmsaihumans	emailphone	none
cyproglobal.net ↗	71 match 2 shared topics	CyproGlobal — Cybersecurity & AI Security Consulting	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
chapard.com ↗	70 match 2 shared topics	Clement Chapard \| Cybersecurity & AI	en	information-and-network-security	robotsllmsaihumans	emailphone	none
trendmicroservices.com ↗	70 match 2 shared topics	Trend Micro (US) \| Global Enterprise AI Cybersecurity Platform	en	information-and-network-security Adobe Experience Manager	robotsllmsaihumans	emailphone	none
trendmicropartners.com ↗	70 match 2 shared topics	Trend Micro (US) \| Global Enterprise AI Cybersecurity Platform	en	information-and-network-security Adobe Experience Manager	robotsllmsaihumans	emailphone	none
trendmicroteams.com ↗	70 match 2 shared topics	Trend Micro (US) \| Global Enterprise AI Cybersecurity Platform	en	information-and-network-security Adobe Experience Manager	robotsllmsaihumans	emailphone	partial · 8
trendmicrosolution.com ↗	70 match 2 shared topics	Trend Micro (US) \| Global Enterprise AI Cybersecurity Platform	en	information-and-network-security Adobe Experience Manager	robotsllmsaihumans	emailphone	none
robrounsavall.com ↗	70 match 2 shared topics	Robert Rounsavall - Cybersecurity & AI	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ahmedksontini.dev ↗	70 match 2 shared topics	Ahmed Ksontini - CyberSecurity & AI Developer	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
entropyresearch.ai ↗	70 match 2 shared topics	Entropy AI Research Labs - AI & Cybersecurity Research and Consultancy	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
styxion.com ↗	70 match 2 shared topics	Styxion — Cybersecurity Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberplus.co.uk ↗	70 match 2 shared topics	CyberPlus AI/AR Cybersecurity (Cyber+)	United Kingdom en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	partial · 8
aicyber.land ↗	70 match 2 shared topics	AI in Cybersecurity Land \| Podcast	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
2thrivellc.com ↗	69 match 2 shared topics	Cyber Security and AI Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
fryconsulting.com ↗	69 match 2 shared topics	Cybersecurity	en	information-and-network-security Adobe Experience Manager	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.