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Ts. Lukas J. Tan — AI Leadership, Cybersecurity Speaker & National Digital Transformation Leader of Malaysia — 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 Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
4hydra.com ↗	70 match 2 shared topics	Hydra Cyber AI — AI Gateway, Manage Service & Secure Digital Transformation	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
azeemnow.com ↗	69 match 2 shared topics	\| Cybersecurity \| Digital Privacy \| AI \| Technology \| Business\| Leadership	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
acquirsecurity.com ↗	68 match 2 shared topics	AI · Cybersecurity · Quantum · Information Risk — ACQUIR	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
jorgemjzak.com ↗	68 match 2 shared topics	Jorge Martín Jarrín Żak — AI Strategy, Cybersecurity & the Human Side of Technology	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
navien.ai ↗	67 match 2 shared topics	Navien — AI-native cybersecurity for fintech	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
ctrlsec.io ↗	67 match 2 shared topics	CtrlSec — AI-Powered Cybersecurity Platform	IN~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
hauberk-ai.com ↗	67 match 2 shared topics	Hauberk AI — AI-Powered Cybersecurity Platform \| Armadillo Security Operations	PS~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
falghancha.com ↗	67 match 2 shared topics	Fal Ghancha — CTO & Cybersecurity Leader	IN~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
3mpath.net ↗	67 match 2 shared topics	3mpath — AI-Cybersecurity Architect	en	information-and-network-security	robotsllmsaihumans	emailphone	none
avegandoailabs.com ↗	67 match 2 shared topics	AVEGANDO AI Labs \| AI-Powered Solutions \| Cybersecurity & Trading Automation	US~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
deshcyber.com ↗	66 match 2 shared topics	DeshCyber \| AI-Based Cybersecurity, GRC, and Automation Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
svastitechsoln.com ↗	66 match 2 shared topics	Svasti Technology Solutions \| Advanced Cybersecurity & AI	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybrcon.com ↗	66 match 2 shared topics	Cybrcon — AI Governance & Cybersecurity Compliance Engineering	en	information-and-network-security	robotsllmsaihumans	emailphone	none
avijitroy.com ↗	66 match 2 shared topics	Avijit Roy - Cybersecurity Researcher, AI Engineer & Educator	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
epcnetwork.co.uk ↗	66 match 2 shared topics	EPC Network \| Cybersecurity & AI Consultancy	GB en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberdeck.help ↗	66 match 2 shared topics	CyberDeck – AI Cybersecurity Training, Attack Simulations & Hands-On Labs	en	information-and-network-security	robotsllmsaihumans	emailphone	none
5thsphere.com ↗	66 match 2 shared topics	5th Sphere \| Next-Generation AI Cybersecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dikeakos.me ↗	66 match 2 shared topics	George Dikeakos — Cybersecurity & AI	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.