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NeetroX — n8n Cybersecurity Workflows & AI SOC Automation — 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
swimlane.com ↗	71 match 2 shared topics	Swimlane: Agentic AI Security Automation, Hyperautomation, SOC Automation	US~ en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
swimlane.ai ↗	71 match 2 shared topics	Swimlane: Agentic AI Security Automation, Hyperautomation, SOC Automation	US~ en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
dikeakos.me ↗	71 match 2 shared topics	George Dikeakos — Cybersecurity & AI	en	information-and-network-security	robotsllmsaihumans	emailphone	none
deshcyber.com ↗	71 match 2 shared topics	DeshCyber \| AI-Based Cybersecurity, GRC, and Automation Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
deep.net ↗	70 match 2 shared topics	Deep Systems Lab \| Cybersecurity & AI Systems Advisory	en	artificial-intelligence WordPress WooCommerce	robots llmsaihumans	emailphone	none
hasaniq.com ↗	70 match 2 shared topics	Nahian Hasan - Cybersecurity & AI Professional	en	information-and-network-security	robotsllmsaihumans	emailphone	none
epcnetwork.co.uk ↗	70 match 2 shared topics	EPC Network \| Cybersecurity & AI Consultancy	GB en	information-and-network-security	robotsllmsaihumans	emailphone	none
accuracttech.com ↗	70 match 2 shared topics	Accuract Technologies: Advanced Cybersecurity & AI Solutions	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
avegandoailabs.com ↗	70 match 2 shared topics	AVEGANDO AI Labs \| AI-Powered Solutions \| Cybersecurity & Trading Automation	US~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
3mpath.net ↗	70 match 2 shared topics	3mpath — AI-Cybersecurity Architect	en	information-and-network-security	robotsllmsaihumans	emailphone	none
joinoperative.com ↗	70 match 2 shared topics	Operative · The AI-human cybersecurity workforce	en	information-and-network-security	robotsllmsaihumans	emailphone	none
5thsphere.com ↗	70 match 2 shared topics	5th Sphere \| Next-Generation AI Cybersecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
derekram.com ↗	69 match 2 shared topics	Derek Ram — Cybersecurity, AI & Practical Systems	en	information-and-network-security	robotsllmsaihumans	emailphone	none
luongnv.com ↗	69 match 2 shared topics	Luong Nguyen \| AI & Cybersecurity Engineer	FR~ en	information-and-network-security	robots llmsaihumans	emailphone	none
navien.ai ↗	69 match 2 shared topics	Navien — AI-native cybersecurity for fintech	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
cybermassive.tech ↗	69 match 2 shared topics	CyberMassive \| Cybersecurity Consulting for Startups & AI Companies	en	information-and-network-security	robotsllmsaihumans	emailphone	none
accusights.com ↗	69 match 2 shared topics	AccuSights \| AI Cybersecurity Solutions & Compliance	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8
cyberfort.systems ↗	69 match 2 shared topics	Cyberfort Systems — Global AI Cybersecurity	en	information-and-network-security	robots llmsaihumans	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.