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Cyber Resilience & Zero-Impact Breach Prevention for Cloud & SaaS | Mitiga — 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
csacongress.org ↗	65 match 2 shared topics	Events \| Cloud Security Alliance (CSA)	en	information-and-network-security	robotsllmsaihumans	emailphone	none
csacongress.com ↗	65 match 2 shared topics	Events \| Cloud Security Alliance (CSA)	en	information-and-network-security	robotsllmsaihumans	emailphone	none
confiido.com ↗	65 match 2 shared topics	Cyber Security and Cloud Computing Solution by Confiido	en	cloud-computing	robotsllmsaihumans	emailphone	none
dgyfree.com ↗	65 match 2 shared topics	DGY Cloud \| Best VPN for China, AI and Streaming	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
vodospadgroup.com ↗	65 match 2 shared topics	VODOSPAD Group — IT Engineering, Cloud & Cybersecurity	en	cloud-computing	robotsllmsaihumans	emailphone	none
connectwithsysdig.com ↗	64 match 2 shared topics	Sysdig \| Cloud Security Starts at Runtime	United States~ en	cloud-computing Lightspeed	robotsllmsaihumans	emailphone	none
moormesh.com ↗	64 match 2 shared topics	moormesh — Cloud Security for Moored Boats	en	cloud-computing	robotsllmsaihumans	emailphone	none
point2pointusa.com ↗	64 match 2 shared topics	Secure Cloud Backup Services - Point 2 Point Inc.	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
point2pointdr.com ↗	64 match 2 shared topics	Secure Cloud Backup Services - Point 2 Point Inc.	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
aquasec.com ↗	63 match 2 shared topics	Aqua Cloud Native Security, Container & Serverless Security	en	cloud-computing WordPress	robots llmsaihumans	emailphone	none
larsschouwenaars.com ↗	63 match 2 shared topics	Lars Schouwenaars – Cloud Security, Azure & Automation - Cloud Architect sharing insights on Azure, Cloud Security and Modern Workplace	en	cloud-computing WordPress	robots llmsaihumans	emailphone	none
vnode.com ↗	63 match 2 shared topics	vNode: Secure Node-Level Isolation for Kubernetes Multi-Tenancy	en	information-and-network-security	robotsllmsaihumans	emailphone	none
easyidentity.co ↗	63 match 2 shared topics	Secure Cloud Identity & Access Management \| EasyIdentity	Colombia en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
1itauthority.com ↗	63 match 2 shared topics	Intelligent Protection Management	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	partial · 8
2gadvisory.com ↗	63 match 2 shared topics	2G Advisory \| CJIS Compliance & Cloud Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1trooper.com ↗	63 match 2 shared topics	1Trooper ERP Security \| Cloud ERP Security Platform	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
apono.io ↗	63 match 2 shared topics	Just-in-Time Access - Apono Cloud Permission Management Platform	en	cloud-computing WordPress	robots llmsaihumans	emailphone	none
kreativetech.com ↗	63 match 2 shared topics	Kreative Technologies — Federal Health IT, Cybersecurity & Cloud	United States~ 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.