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Retency | Privacy Technologies — Anonymisation et exploitation des données — 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
wr-cyber.com ↗	67 match 1 shared topics	Expertise en Protection des Données et Cybersécurité \| WR cybersécurité	fr	information-and-network-security	robotsllmsaihumans	emailphone	none
tilwit.com ↗	66 match 1 shared topics	Tilwit Experts IT - Conseil, Sécurisation et Transformation Digitale	fr	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
algoarmor.com ↗	66 match 1 shared topics	Réalisation et conception de bancs de test sur-mesure - Algoarmor	fr	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
gestionsolus.com ↗	65 match 1 shared topics	OpenSolus \| Retrouver la maîtrise de vos données	fr	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
sealofcompliance.com ↗	64 match 1 shared topics	Seal Of Compliance — Transformez vos données critiques en preuves blockchain	fr	information-and-network-security	robotsllmsaihumans	emailphone	none
wecybertech.com ↗	64 match 1 shared topics	WeCyberTech - Sécurisez votre organisation	fr	information-and-network-security	robotsllmsaihumans	emailphone	none
3rtechnologie.com ↗	64 match 1 shared topics	3R Technologie \| Architecte de la Confiance Numérique	CI~ fr	information-and-network-security	robotsllmsaihumans	email phone	none
cts-secs.com ↗	64 match 1 shared topics	Christ-Technology Services \| Cybersécurité au Québec	fr	information-and-network-security	robotsllmsaihumans	emailphone	none
csc-safe-tx.com ↗	64 match 1 shared topics	CSC Safe-TX — Protection anti-coercition pour transactions numériques	France~ fr	information-and-network-security	robotsllmsaihumans	emailphone	none
fairandsmart.com ↗	63 match 1 shared topics	Fair&Smart - créez de la valeur par la confiance numérique	fr	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cveo.tech ↗	63 match 1 shared topics	cveo.tech — Recherche CVE professionnelle	fr	information-and-network-security	robotsllmsaihumans	emailphone	none
arp131.com ↗	63 match 1 shared topics	Expertise en OSINT pour l'analyse de données publiques \| ARP131	fr	information-and-network-security	robotsllmsaihumans	email phone	none
parlons-surete.com ↗	63 match 1 shared topics	Fichet Security Solution	fr	information-and-network-security	robotsllmsaihumans	emailphone	none
2i-security.com ↗	63 match 1 shared topics	Vérification de Document - Institut International 2I	fr	information-and-network-security	robotsllmsaihumans	emailphone	none
getklaros.com ↗	63 match 1 shared topics	Klaro — Firewall IA pour la conformité RGPD	fr	information-and-network-security	robotsllmsaihumans	emailphone	none
jlmorizur.com ↗	63 match 1 shared topics	Front - JLME (JLMORIZUR Engineering)	fr	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
busteddata.com ↗	63 match 1 shared topics	Busted Data \| Premium Cyber Detection	fr	information-and-network-security	robotsllmsaihumans	emailphone	none
data-process.eu ↗	62 match 1 shared topics	Data Process Conformité RGPD Nos prestations	European Union fr	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.