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Cognitive Intelligence (COGINT) | Hybrid Threats, Private Sector — 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
ekko-dev.com ↗	71 match 1 shared topics	EKKO - Cyber Threat Intelligence \| Proactive Security Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ecrimelabs.eu ↗	71 match 1 shared topics	eCrimeLabs \| Threat Intelligence & Security Engineering	European Union en	information-and-network-security	robotsllmsaihumans	emailphone	none
egnyt.com ↗	71 match 1 shared topics	EGNYT \| Private Operating Intelligence Instances	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
amrf12026.com ↗	70 match 1 shared topics	iSecRadar Threat Intelligence Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
abuse.abudhabi ↗	70 match 1 shared topics	Abuse Intelligence Labs — Cyber Threat Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
roussasre.com ↗	70 match 1 shared topics	Roussas Research Labs \| Threat Intelligence & Threat Hunting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
capxelsecurity.com ↗	70 match 1 shared topics	Threat Intelligence for the Agentic Era \| Capxel Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
rootvector.dev ↗	69 match 1 shared topics	RootVector — Offensive Security Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
clens.io ↗	69 match 1 shared topics	Contextal Lens - Threat Intelligence Service	en	information-and-network-security	robotsllmsaihumans	emailphone	none
adict.cfd ↗	69 match 1 shared topics	User Intelligence - Home	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
spiderfoot.net ↗	69 match 1 shared topics	Cyber Threat Intelligence \| Fight Cyber Threats \| Intel 471	en	information-and-network-security Sanity	robotsllmsaihumans	emailphone	none
alleleintel.com ↗	69 match 1 shared topics	Allele Security Intelligence	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
allelesecurity.com ↗	69 match 1 shared topics	Allele Security Intelligence	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
3si.com ↗	68 match 1 shared topics	3Si Security Systems - Actionable crime intelligence	en	information-and-network-security WordPress	robots llmsaihumans	email phone	none
alleye.ai ↗	68 match 1 shared topics	AllEye.ai – OSINT & Threat Intelligence Platform \| Real-Time Monitoring	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cognyte.com ↗	68 match 1 shared topics	Cognyte \| Actionable Intelligence for a Safer World™	en	information-and-network-security WordPress	robots llms aihumans	emailphone	none
constella.ai ↗	68 match 1 shared topics	Identity Risk Intelligence & Dark Web Monitoring \| Constella	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
4iq.com ↗	68 match 1 shared topics	Identity Risk Intelligence & Dark Web Monitoring \| Constella	en	information-and-network-security WordPress	robots llmsaihumans	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.