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XPWD — Cybersecurity & AI Security Research | André da Silva — 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
cyproglobal.net ↗	76 match 2 shared topics	CyproGlobal — Cybersecurity & AI Security Consulting	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
reworr.com ↗	75 match 2 shared topics	Reworr — AI Security & Safety Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberlab.biz ↗	74 match 2 shared topics	CyberLab — AI Security Research Lab	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ketricagreen.com ↗	74 match 2 shared topics	Cybersecurity & AI Services \| Portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kantilabs.xyz ↗	74 match 2 shared topics	Kanti Labs \| AI Security Research and Offensive Security Models	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
aipwn.org ↗	74 match 2 shared topics	AI Security Research	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aisec.blog ↗	73 match 2 shared topics	AI Sec — Offensive AI Security Research & Red Teaming	en	information-and-network-security	robots llmsaihumans	emailphone	none
skylerwatson.tech ↗	73 match 2 shared topics	Skyler Watson — Cybersecurity & AI	en	information-and-network-security	robotsllmsaihumans	emailphone	none
agi.security ↗	73 match 2 shared topics	AGI Security \| Cybersecurity for Artificial General Intelligence	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8
medullainstitute.org ↗	72 match 2 shared topics	Medulla AI Security Research Institute	United States~ en	artificial-intelligence	robots llmsaihumans	emailphone	partial · 8
riskrecap.com ↗	72 match 2 shared topics	RiskRecap \| Cybersecurity Advisory, Risk Assessment & AI Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberintell.net ↗	72 match 2 shared topics	Small Business Cybersecurity & AI Security \| Cyberintell Northeast Louisiana	en	information-and-network-security	robotsllmsaihumans	emailphone	none
360sec.com ↗	72 match 2 shared topics	AI-Powered Cybersecurity Services — MDR, Red Teaming & AI Security Testing \| 360 Security Group	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
mchugh.ai ↗	72 match 2 shared topics	Jeremy McHugh, D.Sc. — Cybersecurity & AI	United States~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
deep.net ↗	71 match 2 shared topics	Deep Systems Lab \| Cybersecurity & AI Systems Advisory	en	artificial-intelligence WordPress WooCommerce	robots llmsaihumans	emailphone	none
mojaveresearch.ai ↗	71 match 2 shared topics	Mojave Research Inc. — AI-Native Defense & Cybersecurity	United States~ en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
begimher.com ↗	71 match 2 shared topics	Daniel Begimher — AI Security Engineer & Researcher	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cybermassive.tech ↗	71 match 2 shared topics	CyberMassive \| Cybersecurity Consulting for Startups & AI Companies	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.