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Soft Net alternatives & similar sites

Eudaro par Soft-net : Sécurité Maximale contre Pourriel et Phishing — 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
dotwane.com ↗	67 match 1 shared topics	DOTWANE - Conseil en Cybersécurité pour l'Afrique	fr	information-and-network-security Weebly	robotsllmsaihumans	emailphone	none
aac-online.org ↗	65 match 1 shared topics	Alliance Africaine pour la Cybersécurité	fr	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cyrius.co ↗	64 match 1 shared topics	Cyrius \| La plateforme de sécurité modulable et autonome	Colombia fr	information-and-network-security Webflow	robotsllmsaihumans	emailphone	none
gustit38.com ↗	64 match 1 shared topics	GUSTIT38 – La cybersécurité pour les TPE & PME	fr	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
boyauxrouges.com ↗	64 match 1 shared topics	Redguts - Entreprise informatique et Cybersécurité à Lille	fr	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
quetzall.net ↗	64 match 1 shared topics	expert en sécurité informatique - Quetzal Network	fr	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
ollitec.ch ↗	64 match 1 shared topics	Haacq - Votre Expert en Cybersécurité	Switzerland fr	information-and-network-security	robotsllmsaihumans	emailphone	none
cts-secs.com ↗	64 match 1 shared topics	Christ-Technology Services \| Cybersécurité au Québec	fr	information-and-network-security	robotsllmsaihumans	emailphone	none
dorianlmt.com ↗	64 match 1 shared topics	Portfolio · Cybersécurité	fr	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
nextcyber-network.com ↗	64 match 1 shared topics	nextcyber \| Solutions cybersécurité pour les TPE/PME à Marseille	fr	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
qsn-cyber.net ↗	64 match 1 shared topics	Qorum Secur'Num - 1ère force collective cybersécurité en France	fr	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
qsn-cyber.org ↗	64 match 1 shared topics	Qorum Secur'Num - 1ère force collective cybersécurité en France	fr	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
gubgu.app ↗	64 match 1 shared topics	GUBGU — L'environnement numérique de la sécurité privée	fr	information-and-network-security	robotsllmsaihumans	emailphone	none
guiriec.com ↗	64 match 1 shared topics	Clément GUIRIEC - Cybersécurité	fr	information-and-network-security	robots llmsaihumans	emailphone	none
0xamstaff.com ↗	63 match 1 shared topics	Thomas Vankeersbulck \| Stage cybersécurité	fr	information-and-network-security	robotsllmsaihumans	email phone	partial · 8
kylectechnologies.com ↗	63 match 1 shared topics	KYLEC Technologies \| Solutions professionnelles de sécurité électronique	fr	information-and-network-security	robotsllmsaihumans	emailphone	none
nexytal.com ↗	63 match 1 shared topics	NEXYTAL Groupe \| Formation, Cybersécurité, IA & Conseil RH	fr	information-and-network-security	robotsllmsaihumans	emailphone	none
breachunt.blog ↗	63 match 1 shared topics	BreacHunt – Blog – Actualité cyber, OSINT, infostealers et sécurité des données pour anticiper les menaces numériques.	fr	information-and-network-security WordPress	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.