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[03EN] Antivirus protection for businesses - seculution Application-Whitelisting — 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
innovative-ic.org ↗	65 match 2 shared topics	Device Security APP - Device Protection	de	software-and-applications WordPress	robotsllmsaihumans	email phone	none
dataprotectionsuite.com ↗	63 match 2 shared topics	Data Protection Suite – PIMS · GDPR/DSGVO Compliance · ISO 27701	de	software-and-applications	robotsllmsaihumans	emailphone	none
h-solution.ch ↗	63 match 2 shared topics	Automation, Software & IT-Lösungen - Huber Solution GmbH	Switzerland de	software-and-applications WordPress	robots llmsaihumans	emailphone	none
2s-gmbh.com ↗	63 match 2 shared topics	Herzlich willkommen bei der 2S - Security Solutions GmbH	de	software-and-applications	robotsllmsaihumans	emailphone	none
2sgmbh.com ↗	63 match 2 shared topics	Herzlich willkommen bei der 2S - Security Solutions GmbH	de	software-and-applications	robotsllmsaihumans	emailphone	none
eset.ch ↗	63 match 2 shared topics	ESET Antivirus \| Virenschutz für Privat und Unternehmen \| ESET	Switzerland de	information-and-network-security TYPO3	robotsllmsaihumans	emailphone	none
decrypta-technologies.com ↗	63 match 2 shared topics	Decrypta Technologies - IT Forensics & Trace Analysis Solutions	de	information-and-network-security	robotsllmsaihumans	emailphone	none
anonym-pay.de ↗	63 match 2 shared topics	KOBIL AppShield: Mobile App Security Scanner \| Android & iOS	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
business-safe.de ↗	63 match 2 shared topics	Home page - business-safe	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
dataprotection2go.com ↗	63 match 2 shared topics	DataProtection2Go \| DSGVO & Datenschutz Vorlagen & Tools	de	information-and-network-security Shopify	robots llmsaihumans	emailphone	none
applicationsecuritycenter.com ↗	63 match 2 shared topics	APPVISORY – Mobile Security & App Risk Management	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
appsecuritycenter.com ↗	63 match 2 shared topics	APPVISORY – Mobile Security & App Risk Management	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
appvisory.com ↗	63 match 2 shared topics	APPVISORY – Mobile Security & App Risk Management	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
appvisory.net ↗	63 match 2 shared topics	APPVISORY – Mobile Security & App Risk Management	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
apptesting.de ↗	63 match 2 shared topics	APPVISORY – Mobile Security & App Risk Management	Germany de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
appsecuritycenter.de ↗	63 match 2 shared topics	APPVISORY – Mobile Security & App Risk Management	Germany de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
bundesappstore.de ↗	63 match 2 shared topics	APPVISORY – Mobile Security & App Risk Management	Germany de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
crypttrap.com ↗	63 match 2 shared topics	CRYPTTRAP — Cybersecurity Software	de	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.