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Austin Tucker | Cybersecurity Instructor & Security Leader — 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
castlingsecurity.com ↗	74 match 1 shared topics	Castling Security \| Cybersecurity Services	en	information-and-network-security Wix	robots llmsaihumans	emailphone	none
hssgroupinc.com ↗	73 match 1 shared topics	security and training \| protection \| secure \| cybersecurity	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
invenitylabs.com ↗	72 match 1 shared topics	Invenity Labs \| Cybersecurity Research & Development	en	information-and-network-security	robotsllmsaihumans	emailphone	none
invenity-labs.com ↗	72 match 1 shared topics	Invenity Labs \| Cybersecurity Research & Development	en	information-and-network-security	robotsllmsaihumans	emailphone	none
protectmyphi.com ↗	72 match 1 shared topics	SBS CyberSecurity \| Your Cybersecurity Ally	United States~ en	information-and-network-security HubSpot	robotsllmsaihumans	email phone	none
protectmybanking.com ↗	72 match 1 shared topics	SBS CyberSecurity \| Your Cybersecurity Ally	United States~ en	information-and-network-security HubSpot	robotsllmsaihumans	email phone	none
protectmybank.org ↗	72 match 1 shared topics	SBS CyberSecurity \| Your Cybersecurity Ally	United States~ en	information-and-network-security HubSpot	robotsllmsaihumans	email phone	none
protectmybank.net ↗	72 match 1 shared topics	SBS CyberSecurity \| Your Cybersecurity Ally	United States~ en	information-and-network-security HubSpot	robotsllmsaihumans	email phone	none
protectmybank.com ↗	72 match 1 shared topics	SBS CyberSecurity \| Your Cybersecurity Ally	United States~ en	information-and-network-security HubSpot	robotsllmsaihumans	email phone	partial · 8
dongaresecurity.com ↗	72 match 1 shared topics	Dongare Security Ltd \| Global Cybersecurity Assurance & Expertise	United Kingdom~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
garyagar.com ↗	72 match 1 shared topics	Gary Agar \| Cybersecurity Resume	en	information-and-network-security	robotsllmsaihumans	emailphone	none
austincybercollective.org ↗	72 match 1 shared topics	Austin Cybersecurity Collective	en	information-and-network-security	robotsllmsaihumans	emailphone	none
catalyicsecurity.com ↗	72 match 1 shared topics	Catalyic Security - A Global Cybersecurity Services Provider	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
dotsecurityservices.com ↗	72 match 1 shared topics	DOT Security \| Cybersecurity Services for the Evolving World	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dotsecurity.com ↗	72 match 1 shared topics	DOT Security \| Cybersecurity Services for the Evolving World	en	information-and-network-security	robotsllmsaihumans	emailphone	none
nepsys.io ↗	72 match 1 shared topics	NEPSYS — Tailored Security \| Cybersecurity Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
into-security.com ↗	72 match 1 shared topics	Cybersecurity matters – Into Security	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
0xlolbullen.com ↗	71 match 1 shared topics	Victor Åhgren \| Cybersecurity Blog & Portfolio	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.