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Andrew William Green, Ph.D. — 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
agwa.name ↗	66 match 1 shared topics	Andrew Ayer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
agwa.name ↗	66 match 1 shared topics	Andrew Ayer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
badprofessor.com ↗	66 match 1 shared topics	Joshua Morgan - Information Security Professional and Instructor — ilovesec	en	information-and-network-security	robotsllmsaihumans	emailphone	none
improveyourseclife.com ↗	66 match 1 shared topics	Joshua Morgan - Information Security Professional and Instructor — ilovesec	en	information-and-network-security	robotsllmsaihumans	emailphone	none
thirdpartynet.com ↗	65 match 1 shared topics	Home - TPS Cyber	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
inaradu.com ↗	65 match 1 shared topics	Andreea-Ina Radu	en	information-and-network-security	robotsllmsaihumans	emailphone	none
in-security.org ↗	64 match 1 shared topics	In-security Podcast - An information security podcast, from the ground up.	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
blackcipher.com ↗	64 match 1 shared topics	Information Security and Compliance Services \| UTRS, Inc.	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
lancashirecyber.org ↗	64 match 1 shared topics	Home - Lancashire Cyber Alliance	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
demtechgroup.eu ↗	64 match 1 shared topics	CISAT - Center for Information Security and Trust	European Union en	information-and-network-security	robotsllmsaihumans	emailphone	none
coreviaadvisory.com ↗	64 match 1 shared topics	Corevia Advisory - Information Security & Executive Services	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
tierzerosecurity.com ↗	64 match 1 shared topics	Penetration Testing - Red Teaming - Purple Teaming - Security Training \| Tier Zero Security, New Zealand	en	information-and-network-security	robotsllmsaihumans	emailphone	none
tikgate.com ↗	64 match 1 shared topics	CCISRD - Center for Communication and Informationsecurity Research and Development LLC	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
blackfedora.dev ↗	63 match 1 shared topics	Anti-Abuse for Developers	en	information-and-network-security	robotsllmsaihumans	emailphone	none
thidesoft.com ↗	63 match 1 shared topics	Potech	en	information-and-network-security	robotsllmsaihumans	emailphone	none
threatreel.com ↗	63 match 1 shared topics	Welcome to the ThreatReel Podcast	en	information-and-network-security	robotsllmsaihumans	emailphone	none
4nuxd.one ↗	63 match 1 shared topics	Anurag Kumar \| Security Operations Analyst \| Red Teamer \| CTF Player	en	information-and-network-security	robotsllmsaihumans	emailphone	none
2pmc.net ↗	63 match 1 shared topics	IT DIY, Pentesting, Cyber Security - Documentation platform where passionate people share information about IT, cyber security, pentesting.	en	information-and-network-security WordPress	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.