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Open-Source Zero-Trust Workload Connectivity | NetFoundry — 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
netfoundry.io ↗	85 match shared topic	Open-Source Zero-Trust Workload Connectivity \| NetFoundry	en	information-and-network-security WordPress	robots llmsaihumans	email phone	none
pfsense.org ↗	70 match shared topic	pfSense® - World's Most Trusted Open Source Firewall	en	information-and-network-security	robotsllmsaihumans	emailphone	none
chainguard.dev ↗	70 match shared topic	The trusted source for open source \| Chainguard	en	information-and-network-security	robotsllmsaihumans	emailphone	none
owasp.org ↗	65 match shared topic	OWASP Foundation, the Open Source Foundation for Application Security \| OWASP Foundation	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bunkerweb.io ↗	65 match shared topic	BunkerWeb - The open-source Web Application Firewall (WAF)	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
opnsense.org ↗	65 match shared topic	OPNsense® is an open source, feature rich firewall and routing platform, offering cutting-edge network protection. - OPNsense	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
openssf.org ↗	65 match shared topic	Open Source Security Foundation – Linux Foundation Projects	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
backbox.org ↗	65 match shared topic	BackBox.org – A Free Open Source Community Project	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
ostif.org ↗	65 match shared topic	OSTIF.org – Securing Open Source for the World	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
osv.dev ↗	65 match shared topic	OSV - Open Source Vulnerabilities	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cryptomator.org ↗	65 match shared topic	Cryptomator - Free & Open-Source Cloud Storage Encryption	en	information-and-network-security	robotsllmsaihumans	emailphone	none
misp-project.org ↗	65 match shared topic	MISP Open Source Threat Intelligence Platform & Open Standards For Threat Intelligence Sharing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
coreinfrastructure.org ↗	65 match shared topic	Open Source Security Foundation – Linux Foundation Projects	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
trustarc.com ↗	60 match shared topic	Data Privacy Management Software & Solutions \| TrustArc	United States~ en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
truste.com ↗	60 match shared topic	Data Privacy Management Software & Solutions \| TrustArc	United States~ en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
openpgp.org ↗	60 match shared topic	OpenPGP - OpenPGP	en	information-and-network-security	robotsllmsaihumans	emailphone	none
openid.net ↗	60 match shared topic	OpenID - OpenID Foundation	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
tailscale.com ↗	60 match shared topic	Tailscale \| Secure Connectivity for AI, IoT & Multi-Cloud	en	information-and-network-security Sanity	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.