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Sites similar to muse.bayern

Muse alternatives & similar sites

MuSe – Munich IT Security Research Group – Inspirierte IT-Sicherheit im Herzen Bayerns — 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
scnresearch.com ↗	65 match shared topic	SCN Research, Inc. – Your Internet Security Solution	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
abetterinternet.org ↗	65 match shared topic	Internet Security Research Group	en	information-and-network-security	robotsllmsaihumans	emailphone	none
iansresearch.com ↗	65 match shared topic	Cybersecurity Insights & CISO Guidance \| IANS Research	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
wpguardian.io ↗	60 match shared topic	Effective Security for WordPress Sites- WPGuardian	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
domaintools.com ↗	60 match shared topic	Threat Intelligence & Domain Security Platform \| DomainTools	en	information-and-network-security	robotsllmsaihumans	emailphone	none
eset.com ↗	60 match shared topic	ESET Cybersecurity \| Enterprise, Business and Home Solutions \| ESET	en	information-and-network-security TYPO3	robotsllmsaihumans	emailphone	none
sitelock.com ↗	60 match shared topic	Website Security Monitoring & Malware Protection \| SiteLock	en	information-and-network-security	robotsllmsaihumans	emailphone	none
fortinet.com ↗	60 match shared topic	Global Leader of Cybersecurity Solutions and Services \| Fortinet	en	information-and-network-security Adobe Experience Manager	robotsllmsaihumans	emailphone	none
owasp.org ↗	60 match shared topic	OWASP Foundation, the Open Source Foundation for Application Security \| OWASP Foundation	en	information-and-network-security	robotsllmsaihumans	emailphone	none
securitymetrics.com ↗	60 match shared topic	PCI \| HIPAA \| Credit Card Compliance \| SecurityMetrics	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cscdbs.com ↗	60 match shared topic	CSC \| The Most Security Conscious Domains Provider \| CSC	en	information-and-network-security	robotsllmsaihumans	emailphone	none
coram.ai ↗	60 match shared topic	Coram: Unified Physical Security Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
webnamescorporate.com ↗	60 match shared topic	Webnames Corporate \| Domain Management, Brand Security, DNS & SSL	en	information-and-network-security WordPress	robots llmsaihumans	email phone	none
acronis.com ↗	60 match shared topic	AI-Powered Cybersecurity, Data Protection & IT Automation \| Acronis	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8
kaspersky.com ↗	60 match shared topic	Kaspersky Cyber Security Solutions for Home and Business \| Kaspersky	en	information-and-network-security	robotsllmsaihumans	emailphone	none
iacr.org ↗	60 match shared topic	The International Association for Cryptologic Research	en	information-and-network-security	robotsllmsaihumans	emailphone	full · 20
paloaltonetworks.com ↗	60 match shared topic	Leader in Cybersecurity Protection & Software for the Modern Enterprises - Palo Alto Networks	en	information-and-network-security Adobe Experience Manager	robotsllmsaihumans	emailphone	none
checkpoint.com ↗	60 match shared topic	Check Point Software: Leader in Cyber Security Solutions	Israel~ en	information-and-network-security WordPress	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.