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Threatcl Cloud - Collaborative Threat Modeling as Code — 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
threatmodeler.com ↗	72 match 2 shared topics	ThreatModeler \| Intelligent Threat Modeling Solution	en	cloud-computing WordPress	robotsllmsaihumans	emailphone	none
threatreaction.com ↗	68 match 2 shared topics	Threat Reaction — AWS Cloud Threat Protection	en	information-and-network-security Reaction Commerce	robots llmsaihumans	emailphone	none
agora-secureware.com ↗	66 match 2 shared topics	AGORA Trust Rooms - Secure Enterprise Collaboration Platform	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
adversarymethods.com ↗	66 match 2 shared topics	Threat Intelligence \| Google Cloud Blog	en	information-and-network-security	robotsllmsaihumans	emailphone	none
simply-discover.com ↗	65 match 2 shared topics	Customer-Hosted Platform for eDiscovery, Compliance, DSAR, Collaboration & Secure Delivery \| Simply Discover	en	cloud-computing	robotsllmsaihumans	emailphone	none
smartapartments.co ↗	65 match 2 shared topics	Brivo Security Suite \| Cloud Access Control	Colombia en	cloud-computing WordPress	robots llmsaihumans	emailphone	none
securepacket.co ↗	65 match 2 shared topics	Secure Packet - Simplifying Cloud - Compliance Made Easy	Colombia en	cloud-computing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
threatspace.com ↗	65 match 2 shared topics	Mandiant ThreatSpace Cyber Range \| Google Cloud	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cy5.io ↗	65 match 2 shared topics	Cloud Security Provider - Cy5.io	en	cloud-computing WordPress	robotsllmsaihumans	emailphone	partial · 6
dev-conxtd.com ↗	65 match 2 shared topics	Trusted Alarm Management in the Cloud \| CONXTD	en	cloud-computing	robotsllmsaihumans	emailphone	none
devantefrisco.com ↗	65 match 2 shared topics	Devante Frisco \| Cloud Security & Threat Detection	en	information-and-network-security Squarespace Magento	robotsllmsaihumans	emailphone	none
aquasec.com ↗	64 match 2 shared topics	Aqua Cloud Native Security, Container & Serverless Security	en	cloud-computing WordPress	robots llmsaihumans	emailphone	none
4a.io ↗	64 match 2 shared topics	4ARMED Cloud Security Professional Services	en	information-and-network-security	robotsllmsaihumans	emailphone	none
4armed.com ↗	64 match 2 shared topics	4ARMED Cloud Security Professional Services	en	information-and-network-security	robotsllmsaihumans	emailphone	none
scalock.com ↗	64 match 2 shared topics	Aqua Cloud Native Security, Container & Serverless Security	en	cloud-computing WordPress	robotsllmsaihumans	emailphone	none
discovercontrolplanehq.com ↗	64 match 2 shared topics	ControlPlane \| Kubernetes, Cloud Native & OSS Security	en	information-and-network-security Lightspeed	robotsllmsaihumans	emailphone	none
agtbi.com ↗	64 match 2 shared topics	Federal IT & Cloud Solutions \| Alliance Global Tech	en	cloud-computing WordPress WooCommerce	robots llmsaihumans	emailphone	none
bookcontrolplane.com ↗	64 match 2 shared topics	ControlPlane \| Kubernetes, Cloud Native & OSS Security	en	information-and-network-security Lightspeed	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.