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Sites similar to ex-nihilo.fr

Ex Nihilo alternatives & similar sites

Verification required! — 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
eabstudents.fr ↗	68 match 1 shared topics	GLPI - Authentification	France fr	information-and-network-security	robotsllmsaihumans	emailphone	none
eibstudents.fr ↗	68 match 1 shared topics	GLPI - Authentification	France fr	information-and-network-security	robotsllmsaihumans	emailphone	none
cs1.fr ↗	68 match 1 shared topics	CS1 — Authentification	France fr	information-and-network-security	robotsllmsaihumans	emailphone	none
2i-security.com ↗	66 match 1 shared topics	Vérification de Document - Institut International 2I	fr	information-and-network-security	robotsllmsaihumans	emailphone	none
dpo.fr ↗	65 match 1 shared topics	Datasure – Autorité de certification française	France fr	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
datasure.ch ↗	65 match 1 shared topics	Datasure – Autorité de certification française	Switzerland fr	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
myhumanmark.com ↗	64 match 1 shared topics	HumanMark – Certification du contenu humain \| Prouvez l'origine de votre travail	fr	information-and-network-security	robotsllmsaihumans	emailphone	none
cybershield.cloud ↗	63 match 1 shared topics	CyberShield WAF - Protection Avancée des Applications Web	fr	information-and-network-security	robotsllmsaihumans	emailphone	none
dml.fr ↗	63 match 1 shared topics	DML \| Conseils et Intégration NTIC	France fr	information-and-network-security	robotsllmsaihumans	emailphone	none
agarri.fr ↗	63 match 1 shared topics	Agarri: Offensive information security	France fr	information-and-network-security	robotsllmsaihumans	emailphone	none
catinov.com ↗	62 match 1 shared topics	Notre offre \| Catinov : Catalyseur d'innovations	fr	information-and-network-security Grav	robotsllmsaihumans	emailphone	none
investigationnumerique.com ↗	62 match 1 shared topics	Expert Investigation Numérique & Forensique \| JPS	fr	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
dot-anonymizer.fr ↗	62 match 1 shared topics	DOT Anonymizer, Outil d’anonymisation de données	France fr	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
neotrust.io ↗	62 match 1 shared topics	Neotrust l Partenaire de votre transformation cyber	fr	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
assetsprotectionmanagement.com ↗	62 match 1 shared topics	Assets Protection Management SA	fr	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
litis-expertise.com ↗	62 match 1 shared topics	LITIS EXPERTISE V6 — Investigation OSINT Zéro Bruit	fr	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
assetsprotection.ch ↗	62 match 1 shared topics	Assets Protection Management SA	Switzerland fr	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
assetsprotectionmanagement.ch ↗	62 match 1 shared topics	Assets Protection Management SA	Switzerland 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.