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cloudtaser — confidential-compute kubernetes for EU/UK regulated workloads — 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
qlad.ai ↗	71 match 2 shared topics	QLAD \| Kubernetes-Native Confidential Computing Platform	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
qlad.net ↗	71 match 2 shared topics	QLAD \| Kubernetes-Native Confidential Computing Platform	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
qlad.org ↗	71 match 2 shared topics	QLAD \| Kubernetes-Native Confidential Computing Platform	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
kubebastion.com ↗	66 match 2 shared topics	Kubastion – we are experts in Kubernetes Security	en	information-and-network-security	robots llmsaihumans	emailphone	none
kuberadar.com ↗	65 match 2 shared topics	KubeRadar \| secure your kubernetes cluster with us	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kubemedic.io ↗	65 match 2 shared topics	KubeMedic - Safe Kubernetes Auto-Remediation	en	information-and-network-security	robotsllmsaihumans	emailphone	none
trycontrolplanehub.com ↗	65 match 2 shared topics	ControlPlane \| Kubernetes, Cloud Native & OSS Security	en	information-and-network-security Lightspeed	robotsllmsaihumans	emailphone	none
growcontrolplanepro.com ↗	65 match 2 shared topics	ControlPlane \| Kubernetes, Cloud Native & OSS Security	en	information-and-network-security Lightspeed	robotsllmsaihumans	emailphone	none
kubewaf.io ↗	65 match 2 shared topics	kubeWAF - Kubernetes Native WAF \| ModSecurity & OWASP CRS	Switzerland~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
rivassec.com ↗	65 match 2 shared topics	RivasSec \| DevSecOps, Kubernetes, AWS IAM	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kubees.io ↗	65 match 2 shared topics	Kubees - Kubernetes security and compliance as a service	en	information-and-network-security	robotsllmsaihumans	emailphone	none
tristonf.com ↗	64 match 2 shared topics	Triston Felix — Cloud & Identity Engineer	en	cloud-computing	robotsllmsaihumans	emailphone	none
vault387.com ↗	64 match 2 shared topics	vault387 - High-trust infrastructure for critical workloads	en	information-and-network-security	robotsllmsaihumans	email phone	none
vaultguard.cloud ↗	64 match 2 shared topics	VaultGuard — Encrypted Sync & Permissions for Obsidian	en	information-and-network-security	robotsllmsaihumans	emailphone	none
accessidentified.com ↗	64 match 2 shared topics	Access Identified Ltd - IAM & AWS Cloud Consultancy	en	cloud-computing	robotsllmsaihumans	emailphone	none
neovera.com ↗	64 match 2 shared topics	Integrated Security, Cloud & Compliance \| Neovera	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
4geeker.com ↗	63 match 2 shared topics	4GEEKER — IT Infrastructure for the Demanding	en	cloud-computing	robotsllmsaihumans	emailphone	none
rohanbhagat.com ↗	63 match 2 shared topics	Rohan Bhagat \| IT Security Engineer \| Cloud Security \| DevSecOps \| AWS \| Kubernetes	en	information-and-network-security WordPress	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.