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Casaverified alternatives & similar sites

CASA Verified — 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
awsispl.com ↗	66 match 2 shared topics	Secure Your Business with AWS Infra \| AWS Infra Securities	en	information-and-network-security	robotsllmsaihumans	emailphone	none
accessidentified.com ↗	65 match 2 shared topics	Access Identified Ltd - IAM & AWS Cloud Consultancy	en	cloud-computing	robotsllmsaihumans	emailphone	none
awsmanaging.com ↗	64 match 2 shared topics	Fortytwo AWS - Cyber Security Services, Cloud Management	NL~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
avalor.io ↗	64 match 2 shared topics	Unified Vulnerability Management (UVM) \| Zscaler	US~ en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
synthsecuretech.com ↗	64 match 2 shared topics	SynthSecure Tech \| Cyber Security & Cloud Security	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
suwebatu.com ↗	64 match 2 shared topics	Suwebatu \| Enterprise Cloud & IT Transformation Experts	en	cloud-computing	robotsllmsaihumans	emailphone	none
swissexpertgroup.com ↗	64 match 2 shared topics	Swiss Expert Group \| Leading Cybersecurity & Cloud Solutions	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
joincloudsource.com ↗	64 match 2 shared topics	Enterprise IT Security Solutions CloudSource	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
awssecuritycheck.com ↗	64 match 2 shared topics	AWS Security Assessment \| Forrict	NL~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
joinsecuresphere.com ↗	64 match 2 shared topics	SecureSphere - Cybersecurity Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
2bsip.com ↗	64 match 2 shared topics	2bSIP - Security Improvement Program \| Cloud Security Scanning	en	information-and-network-security	robotsllmsaihumans	emailphone	none
lustresconsulting.com ↗	64 match 2 shared topics	Lustres Consulting \| Cloud Infrastructure & Security Consulting \| Canada & UK	CA~ en	information-and-network-security	robotsllmsaihumans	email phone	none
jmragsdale.com ↗	64 match 2 shared topics	Jermaine Ragsdale — Cybersecurity Architect & Cloud Engineer	US~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
ctrlaltsecure.io ↗	64 match 2 shared topics	Welcome to CtrlAltSecure - CtrlAltSecure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
digitalcrest.co.uk ↗	64 match 2 shared topics	Digital Crest Consulting \| Cyber Security, GRC and Cloud	GB en	information-and-network-security	robotsllmsaihumans	emailphone	none
awsight.com ↗	64 match 2 shared topics	AWSight \| Automated AWS Security & Compliance for SMBs	en	cloud-computing	robotsllmsaihumans	emailphone	none
awssecurityservice.com ↗	64 match 2 shared topics	AWS Security Services \| Protect Your Cloud with Enterprise-Grade Security	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	partial · 8
joshuaheffner.com ↗	64 match 2 shared topics	Josh Heffner — Cloud Security Architect \| Denver, CO	US~ en	information-and-network-security	robotsllmsaihumans	email phone	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.