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Sites similar to mcmurray.tech

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Michael McMurray — 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
mdixon.org ↗	72 match 1 shared topics	Michael Dixon	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mdxn.org ↗	72 match 1 shared topics	Michael Dixon	en	information-and-network-security	robotsllmsaihumans	emailphone	none
heuristicsecurity.com ↗	71 match 1 shared topics	Michael Lines	en	information-and-network-security	robotsllmsaihumans	emailphone	none
contimichael.com ↗	67 match 1 shared topics	Michael Conti, PhD · URI Computer Science	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
michaelcoates.co ↗	66 match 1 shared topics	Michael Coates \| CISO & CyberSecurity VC	Colombia en	information-and-network-security	robotsllmsaihumans	emailphone	none
parthabishwas.com ↗	65 match 1 shared topics	Partha Bishwas - Offensive Application Security Engineer \| Web, API & Mobile Security	BD~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
dicesoft.net ↗	64 match 1 shared topics	Stephen Chavez - Red Team Software Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sidops.com ↗	64 match 1 shared topics	Sid Pillarisetty — Senior Security Engineer & SecOps Consultant	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyber-risk.ch ↗	64 match 1 shared topics	Cybersecurity solutions for companies and authorities \| Swiss Post Cybersecurity	Switzerland en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberrisk.ch ↗	64 match 1 shared topics	Cybersecurity solutions for companies and authorities \| Swiss Post Cybersecurity	Switzerland en	information-and-network-security	robots llmsaihumans	emailphone	none
mostafadurrani.com ↗	64 match 1 shared topics	Mustafa K. Durrani — Cybersecurity Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cstl.com ↗	64 match 1 shared topics	CST \| Cyber Security & Information Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xbryan.com ↗	64 match 1 shared topics	Bryan Guevara \| Cybersecurity Portfolio	en	information-and-network-security	robots llmsaihumans	emailphone	none
dhruvp111296.com ↗	64 match 1 shared topics	Dhruv Patel \| Security Engineer at CIVICA - Cybersecurity Expert	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
sidechainsecurity.com ↗	64 match 1 shared topics	Sidechain Security \| Managed Security Services for Regulated Industries	en	information-and-network-security	robotsllmsaihumans	email phone	none
digiss.io ↗	63 match 1 shared topics	Digiss	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
baserock.co.uk ↗	63 match 1 shared topics	BaseRock IT Solutions \| Industrial IT - Manufacturing Cyber Security - Industrial IOT	United Kingdom en	information-and-network-security Webflow	robotsllmsaihumans	email phone	none
2brostech.com ↗	63 match 1 shared topics	IT & Cybersecurity, Tri-Cities WA — Two Brothers Technology	United States~ en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8

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.