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Joshua HeKiley | Systems Specialist & Administrator — 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
adminsnet.net ↗	72 match 1 shared topics	Stephen Sargent \| Senior Systems Administrator \| DoD IT Contractor	US~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
ronbrown3.com ↗	71 match 1 shared topics	Ron Brown \| System Administrator	en	information-and-network-security	robotsllmsaihumans	emailphone	none
youssefghlayel.com ↗	70 match 1 shared topics	ENG. Youssef Ghlayel \| System Administration & IT Leadership	en	information-and-network-security	robotsllmsaihumans	email phone	none
ozkantopal.com ↗	70 match 1 shared topics	Özkan TOPAL – System Administrator & Software Developer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
donovansec.com ↗	67 match 1 shared topics	Alan Donovan \| Cyber Security Specialist - Brisbane, Australia	en	information-and-network-security	robotsllmsaihumans	emailphone	none
networksecurity.org.uk ↗	67 match 1 shared topics	Network Security Specialists	GB en	information-and-network-security	robotsllmsaihumans	emailphone	none
labsard.com ↗	66 match 1 shared topics	Penetration Testing Specialists	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
ianderrick.com ↗	66 match 1 shared topics	Ian Derrick \| Cybersecurity Administrator	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
securityalchemy.co.uk ↗	66 match 1 shared topics	Security Alchemy - Information Security Specialists	GB en	information-and-network-security	robotsllmsaihumans	emailphone	none
iboaron.com ↗	66 match 1 shared topics	Iacopo Boaron Otero - Cybersecurity Specialist \| Portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kyousefi.com ↗	66 match 1 shared topics	Karen Yousefi — Cybersecurity Specialist	en	information-and-network-security	robotsllmsaihumans	emailphone	none
lachgarmohamed.com ↗	66 match 1 shared topics	Mohamed Lachgar \| IT Security & Digital Asset Specialist	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
trans-data.com ↗	66 match 1 shared topics	Data and Communication Infrastructure Specialists - TDM	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
rroks.com ↗	66 match 1 shared topics	RRoks \| Safety Systems for Digital Worlds	en	information-and-network-security	robotsllmsaihumans	email phone	partial · 8
cyphercoredigital.tech ↗	66 match 1 shared topics	Expert Data Specialists	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hedgefunditsupport.com ↗	66 match 1 shared topics	Hedge Fund IT Services \| Global IT Specialist - London	GB~ en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
hedgefundmsp.com ↗	66 match 1 shared topics	Hedge Fund IT Services \| Global IT Specialist - London	GB~ en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
transition-asia.com ↗	66 match 1 shared topics	Transition Systems Asia - Home	en	information-and-network-security Weebly	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.