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Niko Köbler – Experte für Keycloak IAM & SSO — 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
cyberforensik.info ↗	66 match 1 shared topics	Ihre Experten für IT-Forensik & IT-Sicherheit in Köln	de	information-and-network-security Joomla	robotsllmsaihumans	email phone	none
cyberforensics.info ↗	66 match 1 shared topics	Ihre Experten für IT-Forensik & IT-Sicherheit in Köln	de	information-and-network-security Joomla	robotsllmsaihumans	email phone	none
forensic-network.com ↗	66 match 1 shared topics	Ihre Experten für IT-Forensik & IT-Sicherheit in Köln	de	information-and-network-security Joomla	robotsllmsaihumans	email phone	none
cybersinn.ch ↗	64 match 1 shared topics	Cybersinn : IT-Sicherheit für Unternehmen	Switzerland de	information-and-network-security	robotsllmsaihumans	emailphone	none
blueguard.ch ↗	64 match 1 shared topics	Blueguard – Ihr Trusted IT-Partner für Cybersecurity	Switzerland de	information-and-network-security Ghost	robotsllmsaihumans	emailphone	none
nanio.com ↗	64 match 1 shared topics	Codepurple: Cyberscurity Experten	de	information-and-network-security	robotsllmsaihumans	email phone	none
boncy.ch ↗	64 match 1 shared topics	boncy.ch \| Cybersecurity für Schweizer Unternehmen	Switzerland de	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
codepurple.ch ↗	64 match 1 shared topics	Codepurple: Cyberscurity Experten	Switzerland de	information-and-network-security	robotsllmsaihumans	email phone	none
cyberkeller.net ↗	64 match 1 shared topics	Cyber Keller – Cyber Keller München	de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cyber-keller.net ↗	64 match 1 shared topics	Cyber Keller – Cyber Keller München	de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
admijalo.at ↗	64 match 1 shared topics	Admijalo – Cybersicherheit für Unternehmen	Austria de	information-and-network-security	robotsllmsaihumans	email phone	none
frank-group.ch ↗	63 match 1 shared topics	Frank Group - IT Consulting für Cyber Sicherheit - Berlin	Switzerland de	information-and-network-security	robotsllmsaihumans	emailphone	none
iconsult47.com ↗	63 match 1 shared topics	ICONSULT47 \| Less opinions, more experience	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
australian-labradoodle.at ↗	63 match 1 shared topics	Jan-Peter von Hunnius: Innovator in Cybersecurity Engineering \| CYEQT Knowledge Base	Austria de	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
cobsoft.at ↗	63 match 1 shared topics	COB Consulting - Ihr Spezialist für Collaboration	Austria de	information-and-network-security	robotsllmsaihumans	emailphone	none
cob.at ↗	63 match 1 shared topics	COB Consulting - Ihr Spezialist für Collaboration	Austria de	information-and-network-security	robotsllmsaihumans	emailphone	none
idustbin.com ↗	63 match 1 shared topics	iDustBin – Information Security Officer (CISM) \| CISO-Track	Switzerland~ de	information-and-network-security	robotsllmsaihumans	emailphone	none
sidra-reputation.com ↗	63 match 1 shared topics	Sidra – Reputationsschutz für Unternehmen	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.