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Netclean alternatives & similar sites

NetClean | Verified threat intelligence for insider risk — 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
keepmynetclean.com ↗	100 match 1 shared topics	NetClean \| Verified threat intelligence for insider risk	en	information-and-network-security DatoCMS	robotsllmsaihumans	emailphone	none
redtify.com ↗	75 match 1 shared topics	Redtify Threat Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
freedatacenter.org ↗	74 match 1 shared topics	FDC Threat Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ctx.io ↗	74 match 1 shared topics	CTX \| Cyber Threat Intelligence Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
getsocradar.com ↗	73 match 1 shared topics	SOCRadar Extended Threat Intelligence Platform	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
watchdogslk.org ↗	73 match 1 shared topics	WatchdogsLK — Cyber Threat Intelligence for Sri Lanka	en	information-and-network-security	robotsllmsaihumans	emailphone	none
domshield.io ↗	73 match 1 shared topics	DomainShield \| Threat Intelligence Dashboard	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
researchgonecoastal.com ↗	72 match 1 shared topics	Coastal Research \| OT Threat Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersecurityguru.biz ↗	72 match 1 shared topics	CYBERSECURITYGURU - Threat Intelligence Dashboard	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
data-flare.io ↗	72 match 1 shared topics	Cut Off Attacks at the Source \| Threat Intelligence - Flare	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
getbabel.io ↗	72 match 1 shared topics	Babel — Open Threat Intelligence Encyclopedia	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberintelligence.company ↗	72 match 1 shared topics	PRODAFT – Cyber Threat Intelligence and Risk Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberthreat.watch ↗	72 match 1 shared topics	PRODAFT – Cyber Threat Intelligence and Risk Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
domainminer.ai ↗	72 match 1 shared topics	Domain Miner \| Domain Threat Intelligence & Brand Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
data443.com ↗	72 match 1 shared topics	Data443: Real-Time AI Threat Intelligence Data Security	United States~ en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
cybora.io ↗	72 match 1 shared topics	Cybora — Threat Intelligence Feeds for Firewalls	United Arab Emirates~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybora.net ↗	72 match 1 shared topics	Cybora — Threat Intelligence Feeds for Firewalls	United Arab Emirates~ en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
domaintools.net ↗	71 match 1 shared topics	Threat Intelligence & Domain Security Platform \| DomainTools	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.