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Sites similar to trustednet.ca

Trustednet alternatives & similar sites

TrustedNet Canada: Expert Cybersecurity Insights & Digital Protection — 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
3consult-ng.com ↗	73 match 1 shared topics	3Consulting - Expert Data Protection & Cybersecurity Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ctm360.com ↗	73 match 1 shared topics	Consolidated External Cybersecurity & Digital Risk Protection Platform \| CTM360	BH~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
etherealarmor.com ↗	73 match 1 shared topics	Cybersecurity Experts: Ethereal Armor Ltd. Protects Canada	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybernoxis.ch ↗	72 match 1 shared topics	Cybersecurity Solutions \| Proactive Protection \| Cybernoxis	Switzerland en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
dguard.ai ↗	72 match 1 shared topics	DGuard – AI-Powered Digital Protection & Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
packetblock.net ↗	72 match 1 shared topics	PacketBlock - Expert Cybersecurity Delivery	United Kingdom~ en	information-and-network-security Spree Commerce	robotsllmsaihumans	email phone	none
packetblock.com ↗	72 match 1 shared topics	PacketBlock - Expert Cybersecurity Delivery	United Kingdom~ en	information-and-network-security Spree Commerce	robotsllmsaihumans	email phone	none
2lecybersec.com ↗	72 match 1 shared topics	Stay Updated on Cybersecurity & Data Protection \| 2leCyberSecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
acronis.com ↗	71 match 1 shared topics	Cybersecurity & Data Protection Solutions - Acronis	en	information-and-network-security	robotsllmsaihumans	emailphone	none
vladcorsac.com ↗	71 match 1 shared topics	Vlad Corsac — Cybersecurity & Digital Infrastructure	en	information-and-network-security	robotsllmsaihumans	email phone	none
accian.co.uk ↗	71 match 1 shared topics	ACCIAN Limited — Global IT, Cybersecurity & Digital Solutions	United Kingdom en	information-and-network-security	robotsllmsaihumans	email phone	none
polarisec.com ↗	71 match 1 shared topics	Polaris Web Protection & Cyber Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
2bware.com ↗	70 match 1 shared topics	2Bware Cybersecurity	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
hexiosec.dev ↗	70 match 1 shared topics	Hexiosec \| Products & Services From Cyber Security Experts	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hexiosec.com ↗	70 match 1 shared topics	Hexiosec \| Products & Services From Cyber Security Experts	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hexiosec.io ↗	70 match 1 shared topics	Hexiosec \| Products & Services From Cyber Security Experts	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cstl.com ↗	70 match 1 shared topics	CST \| Cyber Security & Information Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
medmac.tech ↗	70 match 1 shared topics	Cybersecurity	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.