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Brightcloudtechnologies alternatives & similar sites

Cybersecurity & Threat Intelligence Services | Webroot — 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
spy-sweeper.com ↗	85 match 1 shared topics	Cybersecurity & Threat Intelligence Services \| Webroot	en	information-and-network-security	robotsllmsaihumans	emailphone	none
spysweeper.org ↗	85 match 1 shared topics	Cybersecurity & Threat Intelligence Services \| Webroot	en	information-and-network-security	robotsllmsaihumans	emailphone	none
spysweeper.net ↗	85 match 1 shared topics	Cybersecurity & Threat Intelligence Services \| Webroot	en	information-and-network-security	robotsllmsaihumans	emailphone	none
spysweeper.com.pk ↗	85 match 1 shared topics	Cybersecurity & Threat Intelligence Services \| Webroot	en	information-and-network-security	robotsllmsaihumans	emailphone	none
spysweeper.com.my ↗	85 match 1 shared topics	Cybersecurity & Threat Intelligence Services \| Webroot	en	information-and-network-security	robotsllmsaihumans	emailphone	none
spy-sweeper.org ↗	85 match 1 shared topics	Cybersecurity & Threat Intelligence Services \| Webroot	en	information-and-network-security	robotsllmsaihumans	emailphone	none
spy-sweeper.net ↗	85 match 1 shared topics	Cybersecurity & Threat Intelligence Services \| Webroot	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersecurityguru.biz ↗	74 match 1 shared topics	CYBERSECURITYGURU - Threat Intelligence Dashboard	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cyberwatchdaily.net ↗	74 match 1 shared topics	CyberWatch Daily — Cybersecurity Threat Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
clens.io ↗	74 match 1 shared topics	Contextal Lens - Threat Intelligence Service	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersecurity.cat ↗	73 match 1 shared topics	CyberSecurity.cat - The Feline Threat Intelligence Portal	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybermon.info ↗	72 match 1 shared topics	CyberSec Monitor - Threat Intelligence Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
lvxworx.com ↗	72 match 1 shared topics	THE PRIVATE FIRM \| Cybersecurity & Intelligence	en	information-and-network-security	robotsllmsaihumans	email phone	none
ecrimelabs.eu ↗	72 match 1 shared topics	eCrimeLabs \| Threat Intelligence & Security Engineering	European Union en	information-and-network-security	robotsllmsaihumans	emailphone	none
alianzaadvisory.com ↗	72 match 1 shared topics	CyberSecurity Services	en	information-and-network-security	robotsllmsaihumans	emailphone	none
stackfeed.org ↗	72 match 1 shared topics	StackFeed — Cybersecurity News, Vulnerability Research & Threat Intelligence	en	information-and-network-security	robots llmsaihumans	emailphone	none
ssitg.net ↗	72 match 1 shared topics	SSITG – Security Service Intelligence Group	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
ekko-dev.com ↗	72 match 1 shared topics	EKKO - Cyber Threat Intelligence \| Proactive Security Intelligence	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.