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Zeki Yüksel | IT Manager | Cyber Security | Infrastructure | DevOps — 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
3dil.com ↗	76 match 1 shared topics	Adil AlAmmari \| IT Manager \| Zoho Consultant \| Infrastructure & Cybersecurity	en	information-and-network-security	robotsllmsaihumans	email phone	none
artofcyberwar.com.au ↗	73 match 1 shared topics	Cyber Security Critical Infrastructure Act Australia	AU en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cxodynamics.com ↗	73 match 1 shared topics	CyberCXO \| Trusted Advisers for IT Infrastructure and Cyber Security	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
navsatech.dev ↗	72 match 1 shared topics	Navsatech Labs — Security & Infrastructure Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cstl.com ↗	72 match 1 shared topics	CST \| Cyber Security & Information Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
jsaxora.com ↗	72 match 1 shared topics	JS Axora - Next-Generation Cybersecurity & Network Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
deg.ai ↗	71 match 1 shared topics	Empowering Confidence \| Cybersecurity and Infrastructure Services	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
abloyassa.com ↗	71 match 1 shared topics	ALCEA - ASSA ABLOY \| Security solutions for Critical infrastructure \| ALCEA	en	information-and-network-security	robotsllmsaihumans	emailphone	none
swidch.com ↗	71 match 1 shared topics	OT Access Security for Critical Infrastructure \| swIDch	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
swift-safe.com ↗	71 match 1 shared topics	SwiftSafe \| Cyber Security Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
swiftsafe.com ↗	71 match 1 shared topics	SwiftSafe \| Cyber Security Solutions	en	information-and-network-security	robots llmsaihumans	emailphone	none
hawkfireprotection.com ↗	71 match 1 shared topics	Hawk Fire Protection \| Critical Infrastructure Security Systems	en	information-and-network-security	robotsllmsaihumans	emailphone	none
syntric-solutions.com ↗	71 match 1 shared topics	Syntric — Secure Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
5oaconsulting.com ↗	71 match 1 shared topics	Home - 5OA \| Cyber Security	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
decrypt0.com ↗	71 match 1 shared topics	Decrypt0 \| Enterprise Web3 Security Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
naveriussecurity.com ↗	71 match 1 shared topics	Naverius Security — Application & Infrastructure Security	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
cybersecurityangels.net ↗	71 match 1 shared topics	Cyber Security Angels	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cybersecurityalerts.net ↗	71 match 1 shared topics	Home \| Cyber Security Alerts	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.