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Network Sense LLC | Cybersecurity, Network Science & AI Research Platforms — 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
cyberresearchsociety.org ↗	72 match 1 shared topics	Cybersecurity Research Society	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberspec.pro ↗	72 match 1 shared topics	CyberSpec - Advanced Cybersecurity Platform \| Vulnerability Management & Network Security	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
defend360.ai ↗	72 match 1 shared topics	Defend360 AI \| Cybersecurity Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
daveymosele.com ↗	71 match 1 shared topics	Davey Mosele \| Cybersecurity, Networking & Ethical AI	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
cybersecuritycongress.org ↗	71 match 1 shared topics	AI, Cybersecurity Resilience Conference France 2026	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybstyx.com ↗	71 match 1 shared topics	Cybstyx \| Cybersecurity Product Ecosystem and Intelligence Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
zynap.com ↗	71 match 1 shared topics	Preemptive Cybersecurity Platform \| Zynap	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
revuln.com ↗	71 match 1 shared topics	REVULN - cybersecurity research and conferences	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aidencintron.dev ↗	71 match 1 shared topics	Aiden Cintron \| Computer Science & Cybersecurity Student	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyber.irish ↗	71 match 1 shared topics	Home \| Cyber.Irish \| Cybersecurity, Networking & Web Design	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
resonanex.com ↗	71 match 1 shared topics	Resonanex \| Hands-On Cybersecurity Research Labs	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
cyberjgonzalez.info ↗	70 match 1 shared topics	Jason Gonzalez \| Cybersecurity & Computer Science	en	information-and-network-security	robotsllmsaihumans	emailphone	none
defendingthenetwork.com ↗	70 match 1 shared topics	Defending the Network \| Dan Tinsley \| Cybersecurity Practitioner	en	information-and-network-security	robotsllmsaihumans	emailphone	none
walbrook-ventures.com ↗	70 match 1 shared topics	Walbrook Ventures LLC \| Cybersecurity & Network Engineering for Federal Customers	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
defendify.ai ↗	70 match 1 shared topics	All-In-One Cybersecurity® Platform \| Defendify	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
zralabs.com ↗	70 match 1 shared topics	ZRA Labs — Cybersecurity Lab Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
defendify.com ↗	70 match 1 shared topics	All-In-One Cybersecurity® Platform \| Defendify	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
nagareyash.com ↗	70 match 1 shared topics	Yash Nagare — Cybersecurity Engineer & Researcher	United States~ 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.