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Stixify | Your automated threat intelligence analyst. Extract machine readable intelligence from unstructured data. — 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
overwatchdata.io ↗	70 match 2 shared topics	Overwatch Data \| AI-Powered Threat Intelligence for Cyber & Fraud Teams	en	information-and-network-security	robotsllmsaihumans	emailphone	none
overwatchdata.ai ↗	70 match 2 shared topics	Overwatch Data \| AI-Powered Threat Intelligence for Cyber & Fraud Teams	en	information-and-network-security	robotsllmsaihumans	emailphone	none
detectionhub.ai ↗	70 match 2 shared topics	DetectionHub.ai - Transform Threat Intelligence into Detection Rules	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cypherintelligence.ai ↗	69 match 2 shared topics	CypherIntelligence \| Sovereign AI Intelligence Platform	en	artificial-intelligence	robots llmsaihumans	emailphone	none
bamintel.com ↗	68 match 2 shared topics	BAM Intelligence — Agentic Threat Collection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hiline-motorsports.com ↗	68 match 2 shared topics	MDLabCA — Offensive Security, Red Team, Threat Intelligence & AI-Powered Detection	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
ownie.com ↗	67 match 2 shared topics	QUE.com - Artificial Intelligence Machine Learning CyberSecurity Robotics Blockchain	en	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
lab-1.io ↗	67 match 2 shared topics	Lab 1 \| Leading the Exposed Data Intelligence Movement	en	artificial-intelligence HubSpot	robotsllmsaihumans	emailphone	none
lab-1.com ↗	67 match 2 shared topics	Lab 1 \| Leading the Exposed Data Intelligence Movement	en	artificial-intelligence HubSpot	robotsllmsaihumans	emailphone	none
aethercouncil.org ↗	67 match 2 shared topics	AETHER Council \| AI Threat Intelligence Research Institute	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
acumenrisk.com ↗	67 match 2 shared topics	Acumen Risk - Risk Management Platform for Man-Made Risks \| Threat Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
iaxov.com ↗	66 match 2 shared topics	IAXOV — The Sovereign Intelligence Company	en	information-and-network-security	robotsllmsaihumans	emailphone	none
d-gn.io ↗	66 match 2 shared topics	D-GN — Collective intelligence infrastructure for AI development	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
domlytic.com ↗	66 match 2 shared topics	Domlytic - Security Consulting and Artificial Intelligence Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
tripwirejs.com ↗	66 match 2 shared topics	Foil · Device intelligence for the era of agents	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8
yousure.io ↗	66 match 2 shared topics	YouSure Security Intelligence	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
helmos.app ↗	66 match 2 shared topics	helmOS \| Intelligence infrastructure for trust-led firms	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
cyn.ai ↗	66 match 2 shared topics	Cyn.Ai \| Synthetic Intelligence Cybersecurity Agents	en	information-and-network-security	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.