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Alexander C. Hubbard | The Cybersecurity Mindset - Cybersecurity from the perspective of a former sysadmin — 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
cybersecurityos.net ↗	70 match 2 shared topics	CybersecurityOS \| CybersecurityOS	en	information-and-network-security Gumroad	robotsllmsaihumans	emailphone	none
kineticcyber.org ↗	69 match 2 shared topics	Topic: Cyber-Kinetic Security, Cybersecurity	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
kinetic-cyber.com ↗	69 match 2 shared topics	Topic: Cyber-Kinetic Security, Cybersecurity	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
kinetic-cyber.org ↗	69 match 2 shared topics	Topic: Cyber-Kinetic Security, Cybersecurity	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
csenthusiast.com ↗	68 match 2 shared topics	Cybersecurity Enthusiast - Home	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dbugging.com ↗	68 match 2 shared topics	Dbugging - CYBER SECURITY PLATFORM	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kevindunton.com ↗	68 match 2 shared topics	Kevin Dunton \| Cybersecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ghali-cyber.com ↗	68 match 2 shared topics	Tazi Ghali - Cybersecurity Student	en	information-and-network-security	robotsllmsaihumans	emailphone	none
nativealgorithms.com ↗	67 match 2 shared topics	Native Algorithms – Brandy Gordon's Master Level Cybersecurity Portfolio	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cybersentinel.tech ↗	67 match 2 shared topics	Welcome to The Cyber Sentinel (TCS) ⋆ The Cyber Sentinel	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
nate-solo.com ↗	67 match 2 shared topics	Nathan Solomon \| Cybersecurity Portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersecmentorship.org ↗	67 match 2 shared topics	CyberSecurity Mentoring Hub – Cybersecurity is a journey not a destination.	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	full · 19
cyberjourney.blog ↗	67 match 2 shared topics	cyber journey – Education and Exploration in Cybersecurity	en	technology-and-computing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cy-brush.com ↗	67 match 2 shared topics	Cybrush - Practical Cybersecurity for Everyone	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyze.ai ↗	67 match 2 shared topics	Cyze - Real-World Cybersecurity Guides & Community Knowledge	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bereketakiso.com ↗	67 match 2 shared topics	Bereket Takiso - Cybersecurity Professional	en	information-and-network-security	robotsllmsaihumans	emailphone	none
thehackerwire.com ↗	67 match 2 shared topics	TheHackerWire – Cybersecurity News, Tools, Insights, and Analysis	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	partial · 8
nathanescobar.com ↗	67 match 2 shared topics	Nathan Escobar \| IT & Security Leader CISSP Exploring Hardware Security & HPC	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.