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Neuromorph Systems Research Lab (NSRL) - AI Safety & Cognitive Security Research — 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 Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
cyberlab.biz ↗	73 match 2 shared topics	CyberLab — AI Security Research Lab	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mattschultz.me ↗	71 match 2 shared topics	Matt Schultz - AI Security Research	en	information-and-network-security	robotsllmsaihumans	emailphone	none
medullainstitute.org ↗	71 match 2 shared topics	Medulla AI Security Research Institute	United States~ en	artificial-intelligence	robots llmsaihumans	emailphone	partial · 8
cstf.dev ↗	71 match 2 shared topics	Cognitive Security Task Force	en	information-and-network-security	robotsllmsaihumans	emailphone	none
algorithmicresearchgroup.com ↗	71 match 2 shared topics	Algorithmic Research Group — Open infrastructure for AI security research	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aipwn.org ↗	70 match 2 shared topics	AI Security Research	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ansrlabs.org ↗	69 match 2 shared topics	Advanced Neural Security Research	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0ximu.dev ↗	69 match 2 shared topics	0ximu \| Security Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xdkay.me ↗	69 match 2 shared topics	Dongkwan Kim \| Security Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ketricagreen.com ↗	68 match 2 shared topics	Cybersecurity & AI Services \| Portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aletheialabs.org ↗	68 match 2 shared topics	Aletheia — An applied research lab working on the epistemic safety of frontier AI systems	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
sprk3.com ↗	68 match 2 shared topics	SPR{K3 — ML Security Research	en	information-and-network-security	robotsllmsaihumans	emailphone	none
begimher.com ↗	68 match 2 shared topics	Daniel Begimher — AI Security Engineer & Researcher	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
androsblandon.com ↗	68 match 2 shared topics	Andros Blandon — AI engineer & cybersecurity researcher	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
teunvanderweij.com ↗	68 match 2 shared topics	Teun van der Weij - AI Safety Researcher	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
amalrs.dev ↗	68 match 2 shared topics	Amal R S — Network Engineer & AI Systems Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
eaglesfield.ai ↗	67 match 2 shared topics	Eaglesfield Adversarial AI \| LLM Security & AI Safety Testing	United Kingdom~ en	artificial-intelligence	robotsllmsaihumans	email phone	none
nailamarir.com ↗	67 match 2 shared topics	Dr. Naila Marir - AI & Cybersecurity Researcher	en	artificial-intelligence	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.