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A cloud-native verification engine — 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
pablojabase.com ↗	68 match 2 shared topics	Pablo Jabase \| Cloud Security Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
passflow.ai ↗	66 match 2 shared topics	Passflow — Identity verification for regulated industries	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
aquasec.com ↗	66 match 2 shared topics	Aqua Cloud Native Security, Container & Serverless Security	en	cloud-computing WordPress	robots llmsaihumans	emailphone	none
scalock.com ↗	66 match 2 shared topics	Aqua Cloud Native Security, Container & Serverless Security	en	cloud-computing WordPress	robotsllmsaihumans	emailphone	none
thinkwerke.com ↗	66 match 2 shared topics	Thinkwerke — Security, Cloud & Compliance Engineering	en	information-and-network-security	robotsllmsaihumans	emailphone	none
tiborhercz.com ↗	66 match 2 shared topics	Tibor Hercz - Writing about Cloud, architecture, AWS, GCP and software engineering.	en	cloud-computing	robotsllmsaihumans	emailphone	none
threatcl.com ↗	66 match 2 shared topics	Threatcl Cloud - Collaborative Threat Modeling as Code	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mcsarathkumar.com ↗	66 match 2 shared topics	Sarathkumar MC - DevSecOps Professional & Cloud Security Specialist \| 16+ Certifications	India~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
jamesmaddoxdev.com ↗	66 match 2 shared topics	James Maddox \| Cloud Security Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
galileomtz.com ↗	66 match 2 shared topics	Galileo Martinez — DevOps, Security & Cloud Infrastructure Engineer	en	cloud-computing	robotsllmsaihumans	emailphone	none
jameysteinmann.com ↗	66 match 2 shared topics	Jamey Steinmann — Cloud Infrastructure & IAM Engineer	en	cloud-computing	robotsllmsaihumans	emailphone	none
patelrutvik.com ↗	66 match 2 shared topics	Rutvik Patel — Security Engineer · Cloud Security · SIEM	Canada~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
discovercontrolplanehq.com ↗	65 match 2 shared topics	ControlPlane \| Kubernetes, Cloud Native & OSS Security	en	information-and-network-security Lightspeed	robotsllmsaihumans	emailphone	none
bookcontrolplane.com ↗	65 match 2 shared topics	ControlPlane \| Kubernetes, Cloud Native & OSS Security	en	information-and-network-security Lightspeed	robotsllmsaihumans	emailphone	none
bookcontrolplanepro.com ↗	65 match 2 shared topics	ControlPlane \| Kubernetes, Cloud Native & OSS Security	en	information-and-network-security Lightspeed	robotsllmsaihumans	emailphone	none
scalecontrolplanepro.com ↗	65 match 2 shared topics	ControlPlane \| Kubernetes, Cloud Native & OSS Security	en	information-and-network-security Lightspeed	robotsllmsaihumans	emailphone	none
jeremyburgos.com ↗	65 match 2 shared topics	Jeremy Burgos - Technical SEO & Cloud Security Engineer	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
jeremy-burgos.cloud ↗	65 match 2 shared topics	Jeremy Burgos - Technical SEO & Cloud Security Engineer	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	partial · 8

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.