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Seraforce AG - Schweizer Cyber Security — 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
u-s-p.com ↗	76 match 1 shared topics	Umfassender Schweizer Cyber Security Service	de	information-and-network-security WordPress	robots llmsaihumans	email phone	none
alphasim.ch ↗	74 match 1 shared topics	AlphaSim – Cyber Security für Schweizer KMU	Switzerland de	information-and-network-security	robotsllmsaihumans	emailphone	none
anomal.ch ↗	72 match 1 shared topics	Schweizer Cyber Security Experten: Schützen Sie Ihr Unternehmen \| ANOMAL	Switzerland de	information-and-network-security	robotsllmsaihumans	emailphone	none
oertli.tech ↗	72 match 1 shared topics	Cyber security	de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cyberconference.schwarz ↗	70 match 1 shared topics	Startseite \| Cyber Security Conference 2026 by Schwarz Digits	de	information-and-network-security	robotsllmsaihumans	emailphone	none
cybrdf.com ↗	70 match 1 shared topics	Cyber Security Services	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
matthiasgruber.at ↗	70 match 1 shared topics	Expert for Cyber Security \| Matthias Gruber	Austria de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cybersecurityaustria.at ↗	70 match 1 shared topics	Home - Cyber Security Austria	Austria de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
security-hub.at ↗	70 match 1 shared topics	Home - Cyber Security Austria	Austria de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cybersecurity-austria.info ↗	69 match 1 shared topics	Cyber Security News Austria	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cyberpraxis.at ↗	69 match 1 shared topics	ISO Consulting - Cyber Security and Data Privacy	Austria de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
solbytech.at ↗	68 match 1 shared topics	solbytech - IT-Sicherheit & Cyber Security Analytics	Austria de	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
csa-on.net ↗	68 match 1 shared topics	CSA-ON.NET – Cyber Security Awareness	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cybersicherheit.at ↗	68 match 1 shared topics	Schutz - Cybersicherheit \| Cybersecurity \| Firewall	Austria de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
cyber-security.versicherung ↗	68 match 1 shared topics	IT-Sicherheit - Mivisio - Cyber Security und Versicherungen	de	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
computer-forensik.at ↗	68 match 1 shared topics	IT-Security - Cyber Security - IT Forensic - TEMS IT Security GmbH	Austria de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
securitycenter.at ↗	68 match 1 shared topics	IT-Security - Cyber Security - IT Forensic - TEMS IT Security GmbH	Austria de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cswe.io ↗	68 match 1 shared topics	Cyber Security Wiebke Ehret - Kontakt	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.