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BSmart - Leading the Change in Next-Gen Digital Innovation and 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
visioneerit.com ↗	70 match 2 shared topics	Technology Innovation, AI Automation & Digital Security \| VisioneerIT	United States~ en	information-and-network-security	robots llmsaihumans	emailphone	none
5thsphere.com ↗	70 match 2 shared topics	5th Sphere \| Next-Generation AI Cybersecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
eset.ai ↗	69 match 2 shared topics	Leading Cybersecurity in the AI Era \| ESET AI Platform \| ESET	en	information-and-network-security TYPO3	robotsllmsaihumans	emailphone	none
dassana.io ↗	69 match 2 shared topics	The Leading Managed Security Platform \| Deepwatch	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
1-pro.net ↗	68 match 2 shared topics	1PRO Solutions - AI-Powered Cybersecurity & Innovation \| Enterprise Security Services	United States~ en	information-and-network-security	robotsllmsaihumans	email phone	none
vishalmajithia.com ↗	68 match 2 shared topics	Vishal Majithia \| Securing the Digital Frontier with Zero‑Trust AI	India~ en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
esntr.net ↗	68 match 2 shared topics	Managed Detection and Response Services & Security Operations Platform \| eSentire	en	information-and-network-security	robots llmsaihumans	email phone	partial · 9
esentire.org ↗	68 match 2 shared topics	Managed Detection and Response Services & Security Operations Platform \| eSentire	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 9
cybr.ai ↗	68 match 2 shared topics	CYBR \| Security Awareness Training For The Next Generation	en	information-and-network-security Wix	robots llmsaihumans	emailphone	none
cryptovoips.com ↗	68 match 2 shared topics	CryptoVoip Technologies \| AI, Security & Innovation	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cryptovoip.tech ↗	68 match 2 shared topics	CryptoVoip Technologies \| AI, Security & Innovation	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ente.net ↗	67 match 2 shared topics	Ente.net - Unusual Innovation	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybai.org ↗	67 match 2 shared topics	CybAI – Artificial Intelligence & Cybersecurity Pan-European Innovation Cluster	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
anu-intelligence.com ↗	67 match 2 shared topics	ANU Intelligence \| AI, automation, and applied cybersecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
8isoft.com ↗	67 match 2 shared topics	Home - 8iSoft \| Smart Security Solutions	en	artificial-intelligence Weebly	robotsllmsaihumans	emailphone	none
8isoftyoda.com ↗	67 match 2 shared topics	Home - 8iSoft \| Smart Security Solutions	en	artificial-intelligence Weebly	robotsllmsaihumans	emailphone	none
8isoftdemo.com ↗	67 match 2 shared topics	Home - 8iSoft \| Smart Security Solutions	en	artificial-intelligence Weebly	robotsllmsaihumans	emailphone	none
cytex.io ↗	67 match 2 shared topics	Leading Cybersecurity Solutions & Risk Management \| Cytex.io	en	information-and-network-security WordPress	robots llmsaihumans	email phone	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.