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Home - Open Source Software Supply Chain Security — 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
myinvisiriskhq.com ↗	77 match 1 shared topics	Software Supply Chain Security Providers \| InvisiRisk	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
myinvisiriskglobal.com ↗	77 match 1 shared topics	Software Supply Chain Security Providers \| InvisiRisk	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
netrise.io ↗	77 match 1 shared topics	Software Supply Chain Security Uncover Hidden Risk \| NetRise	en	information-and-network-security Sanity	robots llmsaihumans	emailphone	none
ericgallagher.net ↗	75 match 1 shared topics	Eric Gallagher · Software Supply Chain Risk	en	information-and-network-security	robotsllmsaihumans	emailphone	none
supplychainsecurity.ca ↗	72 match 1 shared topics	Supply Chain Security - By Datarisk Canada	Canada en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
boostsecurity.io ↗	70 match 1 shared topics	Application Security Management & Supply Chain Protection \| BoostSecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
atauthentication.com ↗	70 match 1 shared topics	authentication · Open source security libraries for node.js	en	information-and-network-security	robotsllmsaihumans	emailphone	none
auction-zama.org ↗	70 match 1 shared topics	Zama - Open Source Cryptography	en	information-and-network-security Contao	robotsllmsaihumans	emailphone	none
llamasbytes.com ↗	70 match 1 shared topics	LLama's Bytes - Software & Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
lmnsecurity.com ↗	69 match 1 shared topics	Home - LMN Security	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
1sourcedigital.com ↗	69 match 1 shared topics	Home - One Source Digital Technologies	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
networkcloudify.com ↗	69 match 1 shared topics	Home - Network Security Lab	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
360antiviruspro.com ↗	68 match 1 shared topics	360 Antivirus Pro: Next-Gen Computer Security Software 2026	India~ en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
gdata-software.com ↗	68 match 1 shared topics	The best G DATA of all time - Test our security software 2022	en	information-and-network-security TYPO3	robotsllmsaihumans	emailphone	none
interroam.com ↗	68 match 1 shared topics	AI-Powered Software for Telecom Networks & Cybersecurity	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
krusesecurity.eu ↗	68 match 1 shared topics	Home - Krusesecurity	European Union en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
assurity-security.com ↗	68 match 1 shared topics	Home - Assurity Security	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
interchainsecurity.dev ↗	68 match 1 shared topics	Interchain Security by Informal Systems	en	information-and-network-security	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.