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@postname — Technical Consultant & Cloud Security — 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
cortez-codes.com ↗	71 match 2 shared topics	Cortez Cloud — Cloud Security & IAM	en	cloud-computing Spree Commerce	robotsllmsaihumans	emailphone	none
incloudsecurity.com ↗	70 match 2 shared topics	InCloud Security Inc.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
netui.co.uk ↗	70 match 2 shared topics	IT Consultancy and Cyber Security \| netui.co.uk	United Kingdom en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
samilamppu.com ↗	69 match 2 shared topics	Sam's Corner – Site about cloud security	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
coretisec.com ↗	69 match 2 shared topics	CoretiSec \| Infrastructure, Cloud & Security Consulting	United Arab Emirates~ en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
copperhelm.com ↗	69 match 2 shared topics	Copperhelm \| Agentic Cloud Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
samiblur.com ↗	69 match 2 shared topics	Mohammed Abdul Sami — Cloud & Firewall Security Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
samuelmarrionagyare.com ↗	68 match 2 shared topics	Samuel Marrion Agyare \| Cloud Security & DevSecOps Engineer	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
samuelonyekwere.com ↗	68 match 2 shared topics	Samuel Onyekwere \| Cloud & Security Engineer	en	cloud-computing	robotsllmsaihumans	emailphone	none
lustresconsulting.com ↗	68 match 2 shared topics	Lustres Consulting \| Cloud Infrastructure & Security Consulting \| Canada & UK	Canada~ en	information-and-network-security	robotsllmsaihumans	email phone	none
sameli.io ↗	68 match 2 shared topics	Adrian Sameli \| Public Cloud Security Systems Engineer	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8
samikroy.com ↗	68 match 2 shared topics	Samik Roy - Cloud Security Advocate & Microsoft MVP	en	information-and-network-security	robotsllmsaihumans	emailphone	none
2gadvisory.com ↗	68 match 2 shared topics	2G Advisory \| CJIS Compliance & Cloud Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1redflag.com ↗	68 match 2 shared topics	1RedFlag - Cloud Security Platform	en	cloud-computing	robots llmsaihumans	emailphone	none
mcsarathkumar.com ↗	67 match 2 shared topics	Sarathkumar MC - DevSecOps Professional & Cloud Security Specialist \| 16+ Certifications	India~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
2bsip.com ↗	67 match 2 shared topics	2bSIP - Security Improvement Program \| Cloud Security Scanning	en	information-and-network-security	robotsllmsaihumans	emailphone	none
blackthorneconsulting.com ↗	67 match 2 shared topics	Blackthorne Consulting	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
aquasec.com ↗	67 match 2 shared topics	Aqua Cloud Native Security, Container & Serverless Security	en	cloud-computing 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.