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IT-Forensik & IT-Sicherheit | Sachverständiger Marco Kaspar - IT-Forensik, Beweissicherung, Analyse, IT-Audits und Beratung — 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 ↗	70 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 ↗	70 match 1 shared topics	Ihre Experten für IT-Forensik & IT-Sicherheit in Köln	de	information-and-network-security Joomla	robotsllmsaihumans	email phone	none
cyber-security.versicherung ↗	70 match 1 shared topics	IT-Sicherheit - Mivisio - Cyber Security und Versicherungen	de	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
webercons.com ↗	68 match 1 shared topics	Weber Consulting KG - Cybersecurity & IT-Sicherheitsberatung	de	information-and-network-security	robotsllmsaihumans	emailphone	none
evilit.ch ↗	67 match 1 shared topics	EvilIT \| Professionelles Pentesting & IT-Sicherheit Schweiz	Switzerland de	information-and-network-security	robotsllmsaihumans	emailphone	none
siz-hannover.net ↗	67 match 1 shared topics	Cyber Sicherheitszentrum Hannover	de	information-and-network-security	robotsllmsaihumans	emailphone	none
dr-scholz.net ↗	67 match 1 shared topics	instFor: Institut für Forensik in der Informatik \| Sachverständigenbüro Prof. Dr. Peter Scholz	de	information-and-network-security TYPO3	robotsllmsaihumans	email phone	none
dr-scholz.org ↗	67 match 1 shared topics	instFor: Institut für Forensik in der Informatik \| Sachverständigenbüro Prof. Dr. Peter Scholz	de	information-and-network-security TYPO3	robotsllmsaihumans	email phone	none
scholzweb.com ↗	67 match 1 shared topics	instFor: Institut für Forensik in der Informatik \| Sachverständigenbüro Prof. Dr. Peter Scholz	de	information-and-network-security TYPO3	robotsllmsaihumans	email phone	none
cybernewshub.tech ↗	66 match 1 shared topics	CyberNewsHub - IT-Sicherheit, Linux und Technik	de	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
ganec.com ↗	66 match 1 shared topics	GANEC GmbH – IT-Sicherheit \| Software \| Beratung	de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
24awareness.com ↗	66 match 1 shared topics	IntraCast – Ihr IT-Sicherheits-Podcast	de	information-and-network-security	robotsllmsaihumans	emailphone	none
mediboxx.info ↗	65 match 1 shared topics	mediBoxx+ \| Praxis-IT für Arztpraxen, Managed IT & IT-Sicherheit	de	information-and-network-security	robots llmsaihumans	email phone	none
cybermodellregion.nrw ↗	65 match 1 shared topics	Cybersicherheit für Unternehmen im Bergischen Städtedreieck	de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cyber-safety-link.net ↗	65 match 1 shared topics	Cyber&Data Protection LiR \| Datenschutz und IT-Sicherheit	de	information-and-network-security Weebly	robotsllmsaihumans	emailphone	none
frank-group.ch ↗	65 match 1 shared topics	Frank Group - IT Consulting für Cyber Sicherheit - Berlin	Switzerland de	information-and-network-security	robotsllmsaihumans	emailphone	none
digital-preview.gmbh ↗	65 match 1 shared topics	Datenschutz und Informationssicherheit	de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
gap-protection.com ↗	65 match 1 shared topics	GAP Protection — Unternehmens-Sicherheit & Partner-Plattform	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.