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Sites similar to aigle-computing.de

Aigle Computing alternatives & similar sites

Aigle Computing – IT Sicherheit — 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
alphacom-eventtechnik.de ↗	69 match 1 shared topics	Alphacom Computer - & Sicherheitstechnik	Germany de	information-and-network-security	robotsllmsaihumans	email phone	none
cysecu.cloud ↗	68 match 1 shared topics	Matthias Hammerschmidt - IT Sicherheit	de	information-and-network-security	robotsllmsaihumans	emailphone	none
ivanti.de ↗	68 match 1 shared topics	Ivanti – IT und Sicherheit. Innovation in Aktion.	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
aipi.de ↗	68 match 1 shared topics	aipi - mit Sicherheit gut verbunden	Germany de	information-and-network-security	robotsllmsaihumans	email phone	none
acmail.de ↗	68 match 1 shared topics	Mario Jocksch IT & Sicherheit	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
it-sicherheit-kmu.ch ↗	68 match 1 shared topics	IT-Sicherheit-KMU	Switzerland de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
puls-security.com ↗	68 match 1 shared topics	Puls Security - Neue Wege zur IT Sicherheit	de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
global-sec.ch ↗	68 match 1 shared topics	GLOBALSEC – IT-Sicherheit und Datenschutz	Switzerland de	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
it-schenk.de ↗	68 match 1 shared topics	Schenk IT – IT-Sicherheit & Vernetzung in Borken	Germany de	information-and-network-security	robotsllmsaihumans	email phone	none
cyberpri.me ↗	68 match 1 shared topics	cyberpri.me – Informationssicherheit & Compliance	de	information-and-network-security	robotsllmsaihumans	emailphone	none
jonas-moennig.de ↗	68 match 1 shared topics	Jonas Mönnig – IT-Sicherheit, Softwareentwicklung	Germany de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
jonasmoennig.de ↗	68 match 1 shared topics	Jonas Mönnig – IT-Sicherheit, Softwareentwicklung	Germany de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
24awareness.de ↗	68 match 1 shared topics	IntraCast – Ihr IT-Sicherheits-Podcast	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
24awareness.com ↗	68 match 1 shared topics	IntraCast – Ihr IT-Sicherheits-Podcast	de	information-and-network-security	robotsllmsaihumans	emailphone	none
itsec24.de ↗	67 match 1 shared topics	Gashi Compliance – IT-Sicherheit, Datenschutz und Awareness	Germany de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
digitalsecurityswitzerland.ch ↗	67 match 1 shared topics	Allianz Digitale Sicherheit Schweiz	Switzerland de	information-and-network-security HubSpot	robotsllmsaihumans	email phone	none
qgroup-ag.com ↗	67 match 1 shared topics	QGroup Cybersicherheit	de	information-and-network-security	robotsllmsaihumans	email phone	none
allegris.de ↗	67 match 1 shared topics	allegris – Ihr neuer IT-Sicherheitsexperte	Germany de	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.