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Triage Global | Enterprise Cybersecurity & IT 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
immunesystems.tech ↗	78 match 1 shared topics	Immune Systems \| Enterprise Cybersecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
0swd.com ↗	77 match 1 shared topics	0swd - Enterprise Cybersecurity Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
horizonshield.org ↗	76 match 1 shared topics	Horizon Shield - Enterprise Cybersecurity Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
rngsecurity.com ↗	76 match 1 shared topics	RNG Security \| Enterprise Cyber Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
principle-networks.co.uk ↗	76 match 1 shared topics	Principle Networks \| Enterprise Cybersecurity & Network Solutions	GB en	information-and-network-security	robotsllmsaihumans	emailphone	none
principlenetworks.co.uk ↗	76 match 1 shared topics	Principle Networks \| Enterprise Cybersecurity & Network Solutions	GB en	information-and-network-security	robotsllmsaihumans	emailphone	none
studiodsharp.com ↗	76 match 1 shared topics	Studio D Sharp \| Cybersecurity Consulting	US~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberdirect.uk ↗	76 match 1 shared topics	CyberDirect - Enterprise Cybersecurity Solutions	GB en	information-and-network-security	robotsllmsaihumans	emailphone	none
triadeinc.com ↗	76 match 1 shared topics	Triade Systems - IT Consulting, Cybersecurity & AI Automation	en	information-and-network-security	robotsllmsaihumans	emailphone	none
tranchulas.com ↗	75 match 1 shared topics	Tranchulas \| Enterprise Cybersecurity Services	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
ihebenachicyber.com ↗	75 match 1 shared topics	Ihebenachi Cybersecurity & Technologies Consulting Inc.	en	information-and-network-security	robotsllmsaihumans	email phone	none
kyiyer.com ↗	75 match 1 shared topics	K Y Iyer - Enterprise IT Solutions \| Application Development \| Cybersecurity Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1strespondercyber.com ↗	75 match 1 shared topics	1stresponder \| Cybersecurity Consulting	en	information-and-network-security Wix	robots llmsaihumans	emailphone	none
bafatech.io ↗	74 match 1 shared topics	BafaTech Consulting - Cybersecurity & Digital Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bafatechconsulting.com ↗	74 match 1 shared topics	BafaTech Consulting - Cybersecurity & Digital Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
rkj-consulting.com ↗	74 match 1 shared topics	RKJ Consulting \| Cybersecurity & Software Development	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sturgeonit.com ↗	74 match 1 shared topics	Sturgeon IT \| Cybersecurity Consultants	en	information-and-network-security	robotsllmsaihumans	email phone	none
iatt.dev ↗	74 match 1 shared topics	IATT \| Cybersecurity Consultancy	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.