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Zealience | EN 18031, RED DA & CRA Compliance Software — 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
resiliencewp.com ↗	73 match 2 shared topics	CRA Compliance Manager - Cyber Resilience Act Software \| ResilienceWP	en	information-and-network-security Paddle	robotsllmsaihumans	emailphone	none
2-controlware.com ↗	70 match 2 shared topics	2-Controlware \| Compliance software for Business Central	Netherlands~ en	software-and-applications	robotsllmsaihumans	emailphone	none
steelcloud.com ↗	70 match 2 shared topics	STIG & CIS Automation & Remediation Compliance Software \| SteelCloud	United States~ en	software-and-applications WordPress	robots llmsaihumans	email phone	none
steelcloud-access.com ↗	70 match 2 shared topics	STIG & CIS Automation & Remediation Compliance Software \| SteelCloud	United States~ en	software-and-applications WordPress	robotsllmsaihumans	email phone	none
hubcaptaincompliancehq.info ↗	69 match 2 shared topics	Captain Compliance - Data Privacy Software & Compliance Management Tools	en	software-and-applications WordPress	robotsllmsaihumans	email phone	none
datasubject.com ↗	69 match 2 shared topics	Intuitive Data Privacy Management Software for Compliance \| Osano	en	software-and-applications HubSpot	robotsllmsaihumans	emailphone	none
datasubjects.com ↗	69 match 2 shared topics	Intuitive Data Privacy Management Software for Compliance \| Osano	en	software-and-applications HubSpot	robotsllmsaihumans	emailphone	none
cybersecuritycompliance.info ↗	69 match 2 shared topics	Compliance Automation and Risk Management Software \| Carbide	en	software-and-applications WordPress	robotsllmsaihumans	emailphone	none
cybercarbide.info ↗	69 match 2 shared topics	Compliance Automation and Risk Management Software \| Carbide	en	software-and-applications WordPress	robotsllmsaihumans	emailphone	none
dataveris.com ↗	68 match 2 shared topics	Dataveris \| Secure Software & Compliant by Design	United States~ en	information-and-network-security	robotsllmsaihumans	email phone	none
cyncone.net ↗	67 match 2 shared topics	Cyncone - Security Compliance Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
darkrocklabs.com ↗	67 match 2 shared topics	Dark Rock Labs — Cybersecurity Compliance Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
reposcope.app ↗	67 match 2 shared topics	RepoScope — Compliance intelligence for your codebase	en	software-and-applications	robotsllmsaihumans	emailphone	none
trustvanta.ch ↗	66 match 2 shared topics	SOC 2, HIPAA, ISO 27001, PCI, and GDPR Compliance	Switzerland en	information-and-network-security	robotsllmsaihumans	emailphone	none
heyatomicone.com ↗	66 match 2 shared topics	SOC 2, HIPAA, ISO 27001, PCI, and GDPR Compliance	en	information-and-network-security	robotsllmsaihumans	emailphone	none
visitkertos.com ↗	66 match 2 shared topics	Kertos -Maximum Compliance, Minimum Effort	Germany~ en	software-and-applications	robotsllmsaihumans	emailphone	none
kelunoa.com ↗	66 match 2 shared topics	Kelunoa — Privacy Compliance Workflows for Canadian Teams (PIPEDA & CPPA)	Canada~ en	software-and-applications	robotsllmsaihumans	emailphone	none
researchkertos.com ↗	66 match 2 shared topics	Kertos -Maximum Compliance, Minimum Effort	en	software-and-applications	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.