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Bearguard alternatives & similar sites

BearGuard® - Adversarielle KI-Sicherheitstests — 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 Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
itantix.de ↗	66 match 2 shared topics	ITantix \| KI-Lösungen & Cybersicherheit	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
ai4vision.net ↗	65 match 2 shared topics	Definieren Sie Sicherheit neu \| AI4Vision	de	information-and-network-security	robotsllmsaihumans	email phone	none
dravosidrale.com ↗	65 match 2 shared topics	FAYZULLO JURABOEV - AI-gestützte Sicherheitsprotokolle für digitale Vermögenswerte	de	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	email phone	none
ai-ausbildung.org ↗	64 match 2 shared topics	Mathias Schmücker \| AI, IT-Sicherheit, Datenschutz & Verhandlungskompetenz	de	artificial-intelligence	robotsllmsaihumans	email phone	none
institut-ai-studien.org ↗	64 match 2 shared topics	Institut für AI Sicherheit & Analyse – AI Security & Analytics Institute	de	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
activemind.de ↗	64 match 2 shared topics	Datenschutz - Informationssicherheit - KI \| activeMind AG	Germany de	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
aicx.de ↗	63 match 2 shared topics	Sichere KI-Agenten für deutsche Unternehmen \| aicx.	Germany de	artificial-intelligence	robotsllmsaihumans	emailphone	none
nenna.ai ↗	63 match 2 shared topics	NENNA AI macht generative KI datensicher.	de	artificial-intelligence	robotsllmsaihumans	emailphone	none
acai-prism.cloud ↗	63 match 2 shared topics	Acai Prism \| Qualitätssicherung für KI-generierten Code	de	artificial-intelligence	robotsllmsaihumans	email phone	none
iowis.com ↗	62 match 2 shared topics	Datenschutzkonforme und lokale KI für Unternehmen – IOWIS	de	artificial-intelligence	robotsllmsaihumans	emailphone	none
agentovo.net ↗	62 match 2 shared topics	Agentovo.net - DSGVO-konforme KI-Agenten	de	information-and-network-security	robotsllmsaihumans	emailphone	none
ai-lock.org ↗	61 match 2 shared topics	AI Secure Data Vault – Zero Trust Storage for AI - AI Lock	de	artificial-intelligence	robotsllmsaihumans	emailphone	none
cheatcode.ch ↗	61 match 2 shared topics	cheatcode.ch — AI Agent Security für Schweizer KMU	Switzerland de	artificial-intelligence	robotsllmsaihumans	emailphone	none
cavorapartners.com ↗	61 match 2 shared topics	Cybersecurity, Compliance & AI Beratung \| Cavora Partners	de	information-and-network-security	robotsllmsaihumans	email phone	none
dp-services.ch ↗	61 match 2 shared topics	KI-Datenschutz für die Schweiz · DSG- und DSGVO-konform \| dp/Services	Switzerland de	artificial-intelligence	robotsllmsaihumans	emailphone	none
litiscan.com ↗	61 match 2 shared topics	LitiScan — KI nutzen ohne Unternehmensdaten preiszugeben	de	information-and-network-security	robotsllmsaihumans	email phone	none
aicontext.de ↗	60 match 2 shared topics	AI-Context	Germany de	information-and-network-security Ghost	robotsllmsaihumans	emailphone	none
neubauer-net.com ↗	60 match 2 shared topics	Neubauer-Net.com – KI mit MS Copilot \| IT-Training \| Consulting \| ISMS \| Cybersecurity \| PenTesting	de	artificial-intelligence 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.