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Bluvector alternatives & similar sites

DataBee® Security and Compliance Data Fabric — 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
bluvector.solutions ↗	100 match 1 shared topics	DataBee® Security and Compliance Data Fabric	en	information-and-network-security Webflow	robotsllmsaihumans	emailphone	none
bluvector.io ↗	100 match 1 shared topics	DataBee® Security and Compliance Data Fabric	en	information-and-network-security Webflow	robotsllmsaihumans	emailphone	none
bluvectorcortex.com ↗	100 match 1 shared topics	DataBee® Security and Compliance Data Fabric	en	information-and-network-security Webflow	robotsllmsaihumans	emailphone	none
bluvector.ai ↗	100 match 1 shared topics	DataBee® Security and Compliance Data Fabric	en	information-and-network-security Webflow	robotsllmsaihumans	emailphone	none
100security.net ↗	76 match 1 shared topics	Security and Compliance \| 100% Security	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
dragnetsecure.com ↗	74 match 1 shared topics	Dragnet \| Cybersecurity and Compliance	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
nextgetagency.com ↗	74 match 1 shared topics	Agency Cybersecurity \| Security and Compliance Team	en	information-and-network-security	robots llmsaihumans	emailphone	none
newitservicesuzado.com ↗	73 match 1 shared topics	IT Security and Compliance, Cybersecurity Uzado	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
nextuzadosecure.com ↗	73 match 1 shared topics	IT Security and Compliance, Cybersecurity Uzado	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
venation.digital ↗	72 match 1 shared topics	Venation - The evidence layer for security and compliance teams	en	information-and-network-security	robots llmsaihumans	emailphone	none
newton-jo.com ↗	71 match 1 shared topics	Newton Security and Communication System	en	information-and-network-security	robotsllmsaihumans	emailphone	none
newcormgt.com ↗	71 match 1 shared topics	Electronic Security Compliance Management	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
jayanta-nath.com ↗	71 match 1 shared topics	Jayanta Nath - Security & Compliance Professional	en	information-and-network-security	robotsllmsaihumans	email phone	none
doubleplusgood.io ↗	71 match 1 shared topics	Doubleplusgood Ltd - DevOps, Security and Compliance for Startups	en	information-and-network-security	robotsllmsaihumans	email phone	none
dragnet1.com ↗	70 match 1 shared topics	Simplifying Cyber Security Compliance \| Dragnet365	en	information-and-network-security	robotsllmsaihumans	emailphone	none
rmpportal.com ↗	70 match 1 shared topics	Cyturus \| Compliance, Risk, and Cybersecurity Maturity	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
qnamix.tech ↗	70 match 1 shared topics	Simplify Cybersecurity Compliance \| Qnamix	en	information-and-network-security	robotsllmsaihumans	emailphone	none
4wardshield.com ↗	70 match 1 shared topics	Risk Associates \| Managed Security & Compliance Experts	Australia~ en	information-and-network-security WordPress	robotsllmsaihumans	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.