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Nyxprotocol alternatives & similar sites

NyxProtocol - Secure Cloud Connectivity — 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
sforcecorp.com ↗	68 match 2 shared topics	SFORCE - Securing the Future of Cloud & AI	en	cloud-computing	robotsllmsaihumans	emailphone	none
ttstechconsulting.com ↗	68 match 2 shared topics	TTS Tech Consulting \| Azure Cloud & Security Experts — Houston, TX	en	cloud-computing	robotsllmsaihumans	emailphone	none
edatamachines.com ↗	68 match 2 shared topics	eDataMachines — Securing the Cloud for Industry	en	cloud-computing	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
venerablenetworks.com ↗	67 match 2 shared topics	Venerable Networks LLC - Cloud Network & Security Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1trooper.com ↗	67 match 2 shared topics	1Trooper ERP Security \| Cloud ERP Security Platform	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
kontex.com ↗	67 match 2 shared topics	Security-First Managed Service Provider \| Secure Cloud Solutions	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
knitlogix.com ↗	67 match 2 shared topics	Best Cloud computing Security company India'23 Knitlogix	en	cloud-computing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
astravconsulting.com ↗	66 match 2 shared topics	Astrav Consulting \| CDN and Cloud Security Services	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cirruscloudconnect.com ↗	66 match 2 shared topics	Cirrus Cloud Connect — Nationwide Technology Advisor \| Cybersecurity, Cloud, Telecom, AI	en	information-and-network-security	robots llmsaihumans	email phone	partial · 8
ccsw.io ↗	66 match 2 shared topics	ACM Cloud Computing Security Workshop	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ashtratech.com ↗	66 match 2 shared topics	Ashtra Technologies — Secure Cloud Operations & Compliance Readiness	en	cloud-computing	robots llmsaihumans	emailphone	none
cicdsecurity.io ↗	66 match 2 shared topics	Cloud Code Security \| Cloud Code Security - Palo Alto Networks	en	information-and-network-security Adobe Experience Manager	robotsllmsaihumans	emailphone	none
cidersecurity.net ↗	66 match 2 shared topics	Cloud Code Security \| Cloud Code Security - Palo Alto Networks	en	information-and-network-security Adobe Experience Manager	robotsllmsaihumans	emailphone	none
karldarla.com ↗	66 match 2 shared topics	Donny Schreiber — Cloud & Security Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kolteq.com ↗	66 match 2 shared topics	KOLTEQ - Kubernetes & Cloud Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sewewa.com ↗	66 match 2 shared topics	SEWEWA \| DevSecOps • Cloud Security	en	cloud-computing	robotsllmsaihumans	emailphone	none
assilabdulrahim.com ↗	66 match 2 shared topics	Assil Abdulrahim — Security & Cloud Architect	United States~ en	cloud-computing	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.