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System/Security Analysis and Architecture Consultants — 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
cbislabs.com ↗	72 match 1 shared topics	CBIS Labs - Information Security Consultancy and Analysis	en	information-and-network-security	robotsllmsaihumans	emailphone	none
proteus.net ↗	72 match 1 shared topics	Cybersecurity Consultants and Solutions \| Optiv	United States~ en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
intelomain.com ↗	71 match 1 shared topics	Free Security Analysis for Emails and Domains	en	information-and-network-security	robotsllmsaihumans	emailphone	none
assuredcontrol.com ↗	71 match 1 shared topics	Assured Control \| Enterprise Security Architecture	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
gavinlujan.com ↗	71 match 1 shared topics	Gavin Lujan \| Cybersecurity Architecture & CIO Advisory	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cryptosmith.com ↗	71 match 1 shared topics	Cryptosmith – Cyber and security architecture, not bitcoins	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
gcment.com ↗	70 match 1 shared topics	SOC 2 Readiness \| Fractional Security Architect	en	information-and-network-security	robotsllmsaihumans	emailphone	none
gasparinatos.com ↗	70 match 1 shared topics	Stelios Gasparinatos \| Information Security Consultant	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
counterhack.co.uk ↗	70 match 1 shared topics	Cybersecurity Consultants \| CounterHack Ltd	United Kingdom en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
protectionarchitects.com ↗	70 match 1 shared topics	Corporate Security Program Architecture \| Protection Architects	en	information-and-network-security	robotsllmsaihumans	emailphone	none
erickhallick.com ↗	69 match 1 shared topics	Erick Hallick - Cybersecurity Analyst	en	information-and-network-security	robotsllmsaihumans	emailphone	none
3dil.com ↗	69 match 1 shared topics	Adil AlAmmari \| IT Manager \| Zoho Consultant \| Infrastructure & Cybersecurity	en	information-and-network-security	robotsllmsaihumans	email phone	none
365labs.cloud ↗	69 match 1 shared topics	365labs - Microsoft 365 and cyber security consultancy	en	information-and-network-security Squarespace	robotsllmsaihumans	emailphone	none
1patchsecurity.com ↗	69 match 1 shared topics	One Patch Security \| WordPress Security Architects	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cavinjones.com ↗	69 match 1 shared topics	Cavin Jones \| Cyber Security Analyst	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
garrettdevelops.com ↗	69 match 1 shared topics	Garrett Morgan \| Cybersecurity Analyst	en	information-and-network-security	robotsllmsaihumans	email phone	none
sivadira.com ↗	69 match 1 shared topics	Ari Davis - Cyber Security Consultant & Software Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
astitvavarma.com ↗	68 match 1 shared topics	Astitva Varma \| Golang Developer & Cybersecurity Consultant \| Astitva Varma	en	information-and-network-security	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.