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DataWater — Cybersecurity Intelligence & AI Data Insights for Enterprise - DataWater — 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
cybrain.tech ↗	75 match 1 shared topics	Nerd@Heart — Cybersecurity Intelligence & Advisory	en	information-and-network-security	robotsllmsaihumans	emailphone	none
darkowl.com ↗	73 match 1 shared topics	Dark Web Threat Intelligence & Darknet Data for Cybersecurity Teams \| DarkOwl	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
ssquad.com ↗	73 match 1 shared topics	Ssquad Global \| Enterprise Cybersecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybergridsolutions.tech ↗	73 match 1 shared topics	Cybergrid Solutions — Enterprise Cybersecurity & AI Defense	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberwatchdaily.net ↗	73 match 1 shared topics	CyberWatch Daily — Cybersecurity Threat Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cssecure.net ↗	73 match 1 shared topics	CS SECURE LIMITED — Enterprise Cybersecurity Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dapripro.com ↗	73 match 1 shared topics	DapriPro® \| Expert Cybersecurity Insights & Data Privacy Guides	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aos-technologiies.com ↗	72 match 1 shared topics	AOS Technologies \| Enterprise Cybersecurity Solutions for MSPs	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersec.enterprises ↗	72 match 1 shared topics	CYBERSEC - Digital Intelligence & Security Solutions	en	information-and-network-security	robotsllmsaihumans	email phone	none
cyberwatchnow.tech ↗	72 match 1 shared topics	CyberWatch - Real-time Cybersecurity Intelligence Dashboard	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyb3rcypher.com ↗	72 match 1 shared topics	Cyb3rCypher — Cyber Threat Intelligence Briefings	en	information-and-network-security	robotsllmsaihumans	emailphone	none
principlenetworks.co.uk ↗	72 match 1 shared topics	Principle Networks \| Enterprise Cybersecurity & Network Solutions	United Kingdom en	information-and-network-security	robotsllmsaihumans	emailphone	none
principle-networks.co.uk ↗	72 match 1 shared topics	Principle Networks \| Enterprise Cybersecurity & Network Solutions	United Kingdom en	information-and-network-security	robotsllmsaihumans	emailphone	none
enterprisesecuritytech.com ↗	71 match 1 shared topics	Cybersecurity News \| Enterprise Security Tech	en	information-and-network-security Wix	robots llmsaihumans	emailphone	none
cybersports.net ↗	71 match 1 shared topics	Cyber Sports — Security Intelligence \| CyberSports.net	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersecurities.pro ↗	71 match 1 shared topics	CyberSecurityWire - Real-Time Security Intelligence Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyber-sec.info ↗	71 match 1 shared topics	cyber-sec.info - Enterprise Cybersecurity Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
vionsec.com ↗	71 match 1 shared topics	VION Sec \| Enterprise Cybersecurity Solutions	en	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.