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Cyber Security Vulnerability Assessment | Nemasis — 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
donjonsec.com ↗	71 match 2 shared topics	Donjon Platform — Enterprise Security Assessment \| DonjonSec	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
csams.app ↗	70 match 2 shared topics	CSAMS — Cyber Security Audit Management System	en	information-and-network-security	robotsllmsaihumans	emailphone	none
csintwawe.org ↗	68 match 2 shared topics	Csint Wawe - Cyber Security Intelligence Tools	en	information-and-network-security	robotsllmsaihumans	emailphone	none
csfaas.io ↗	67 match 2 shared topics	CSFaaS - Cyber Security Framework as a Service	en	information-and-network-security	robotsllmsaihumans	emailphone	none
applicationsecurity.ca ↗	67 match 2 shared topics	Application Security - By Datarisk Canada	Canada en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
ernestsgm.com ↗	67 match 2 shared topics	Cyber Netwire: Security-first chat app	en	information-and-network-security	robotsllmsaihumans	emailphone	none
acuityriskmanagement.co.uk ↗	67 match 2 shared topics	Acuity Risk Management \| STREAM® Cyber GRC Platform	United Kingdom en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
acuityrm.co.uk ↗	67 match 2 shared topics	Acuity Risk Management \| STREAM® Cyber GRC Platform	United Kingdom en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
nelsoncybersecurity.com ↗	67 match 2 shared topics	Nelson Cybersecurity LLC	en	information-and-network-security	robotsllmsaihumans	emailphone	none
astarios.com ↗	67 match 2 shared topics	Astarios \| Software Development & Security Solutions	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
siteowl.com ↗	67 match 2 shared topics	Physical Security System Management - SiteOwl	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
crystalsecurity.eu ↗	66 match 2 shared topics	Crystal Security	European Union en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
nelsat.com ↗	66 match 2 shared topics	Nelsat — Custom software & cybersecurity	KE~ en	information-and-network-security	robotsllmsaihumans	email phone	none
inventum-solutions.com ↗	66 match 2 shared topics	Inventum Solutions \| Cyber security & Software development	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
360totalsecurity.com ↗	66 match 2 shared topics	360 Total Security for Home and Business \| Free & Easy	en	information-and-network-security	robotsllmsaihumans	emailphone	none
nextgensoftware.eu ↗	66 match 2 shared topics	Nextgen Software — CyberQuest SIEM, NetAlert NDR & Security Automation	European Union en	information-and-network-security	robots llmsaihumans	emailphone	none
csi4grc.com ↗	66 match 2 shared topics	Audit and Security Software Tools for SAP Environments	en	software-and-applications Joomla	robotsllmsaihumans	emailphone	none
csi4grc.co.uk ↗	66 match 2 shared topics	Audit and Security Software Tools for SAP Environments	United Kingdom en	software-and-applications Joomla	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.