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Scott Murray | Cybersecurity Consulting - — 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
sayers.com ↗	76 match 2 shared topics	IT & Cybersecurity Consulting \| Sayers	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
scybers.com ↗	74 match 2 shared topics	Cybersecurity Consulting & Managed Services	United States~ en	information-and-network-security	robotsllmsaihumans	email phone	none
outpostgray.com ↗	73 match 2 shared topics	Outpost Gray \| AI-Powered Cybersecurity Consulting \| Founded by Jax Scott	en	artificial-intelligence Spree Commerce	robotsllmsaihumans	emailphone	none
scs-systems.io ↗	72 match 2 shared topics	SCS Systems - Cybersecurity Consulting & AI-Driven Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
2thrivellc.com ↗	72 match 2 shared topics	Cyber Security and AI Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
tiaki-consulting.com ↗	72 match 2 shared topics	AI and Cybersecurity Data Consulting in Sports \| TIAKI	en	artificial-intelligence Weebly WooCommerce	robotsllmsaihumans	emailphone	none
tiakiconsulting.ai ↗	72 match 2 shared topics	AI and Cybersecurity Data Consulting in Sports \| TIAKI	en	artificial-intelligence Weebly WooCommerce	robotsllmsaihumans	emailphone	none
tiakimind.com ↗	72 match 2 shared topics	AI and Cybersecurity Data Consulting in Sports \| TIAKI	en	artificial-intelligence Weebly WooCommerce	robotsllmsaihumans	emailphone	none
tiakisport.ai ↗	72 match 2 shared topics	AI and Cybersecurity Data Consulting in Sports \| TIAKI	en	artificial-intelligence Weebly WooCommerce	robotsllmsaihumans	emailphone	none
bongaservices.com ↗	71 match 2 shared topics	Qmonit \| Cybersecurity	en	information-and-network-security Wix	robotsllmsaihumans	emailphone	none
lkagroup.be ↗	71 match 2 shared topics	L-KA Group \| Cybersecurity, Observability & AI Consulting — Belgium	Belgium en	information-and-network-security	robots llmsaihumans	email phone	none
cslawreport.com ↗	71 match 2 shared topics	Home \| Cybersecurity Law Report	en	information-and-network-security	robotsllmsaihumans	emailphone	none
marlonsousa.com ↗	70 match 2 shared topics	Marlon Sousa \| Cybersecurity Engineer	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
thoughtwavesoft.com ↗	70 match 2 shared topics	Thoughtwave Software & Solutions \| AI, Data Analytics & Cybersecurity Consulting	United States~ en	information-and-network-security	robots llmsaihumans	email phone	none
ournation.ai ↗	69 match 2 shared topics	OurNation.ai — First Nation Cyber Security & AI Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
threatvet.com ↗	69 match 2 shared topics	ThreatVet — Cybersecurity 360°	en	information-and-network-security	robotsllmsaihumans	emailphone	none
skylerwatson.tech ↗	68 match 2 shared topics	Skyler Watson — Cybersecurity & AI	en	information-and-network-security	robotsllmsaihumans	emailphone	none
adityabhardwaj.dev ↗	68 match 2 shared topics	Aditya Bhardwaj \| Cybersecurity + Research + 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.