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Nordfold – Swiss network security automation & software consulting — 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
paia.dev ↗	100 match 2 shared topics	Nordfold – Swiss network security automation & software consulting	Switzerland~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
paia.tech ↗	100 match 2 shared topics	Nordfold – Swiss network security automation & software consulting	Switzerland~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
ctrlcore.net ↗	71 match 2 shared topics	Software Security Consultancy & Advisory	en	information-and-network-security	robotsllmsaihumans	emailphone	none
baxtercyberconsulting.com ↗	71 match 2 shared topics	Baxter Cyber Consulting - Custom Software & Cybersecurity Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
vnchopra.com ↗	70 match 2 shared topics	Varun Chopra - Security Engineer & Software Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
eetsecurity.ch ↗	70 match 2 shared topics	EET Security - Smart Software	Switzerland en	software-and-applications	robotsllmsaihumans	emailphone	none
hiaudit.io ↗	70 match 2 shared topics	Hi AUDIT \| Web3 security automated tool	en	information-and-network-security	robotsllmsaihumans	emailphone	none
owaspfiasse.org ↗	69 match 2 shared topics	OWASP FIASSE: Framework for Integrating Application Security into Software Engineering	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 11
laminar-designs.com ↗	69 match 2 shared topics	Laminar Designs \| Medical Informatics & Secure Software	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
polygonti.com ↗	69 match 2 shared topics	PTI: UAE's Cybersecurity and Software Services	United Arab Emirates~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
mooreventuresgroup.com ↗	68 match 2 shared topics	Moore Ventures Group (MVG) \| Software Engineering & Security	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
mcintoshconsult.com ↗	68 match 2 shared topics	McIntosh Consulting	en	software-and-applications	robotsllmsaihumans	emailphone	none
csi4grc.com ↗	68 match 2 shared topics	Audit and Security Software Tools for SAP Environments	en	software-and-applications Joomla	robotsllmsaihumans	emailphone	none
port80software.com ↗	68 match 2 shared topics	Web Application Security & Performance Tools for Microsoft IIS Servers \| Port80 Software	en	software-and-applications	robotsllmsaihumans	emailphone	none
alboum.net ↗	67 match 2 shared topics	Alboum \| Software Development & Cybersecurity Services	KW~ en	information-and-network-security	robots llmsaihumans	email phone	none
crystal-onyx.com ↗	67 match 2 shared topics	Data Security Software Indianapolis \| Crystal Onyx	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
crystalonyx.com ↗	67 match 2 shared topics	Data Security Software Indianapolis \| Crystal Onyx	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	partial · 8
shorr-kan.com ↗	67 match 2 shared topics	Shorr Kan – Software products, Software development, Cyber security	en	software-and-applications WordPress WooCommerce	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.