similar sites

Browse

AI Report Tools

Sites similar to cybersecurityos.net

Cybersecurityos alternatives & similar sites

CybersecurityOS | CybersecurityOS — 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
joshlapitan.com ↗	74 match 2 shared topics	Josh — Cybersecurity Analyst & Security Engineer	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
cybersecurity.gripe ↗	72 match 2 shared topics	Cybersecurity	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
nate-solo.com ↗	72 match 2 shared topics	Nathan Solomon \| Cybersecurity Portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dhyeysanghvi.com ↗	72 match 2 shared topics	Dhyey Sanghvi \| Cybersecurity Portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ackflagg.com ↗	71 match 2 shared topics	My cybersecurity notes	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
csenthusiast.com ↗	71 match 2 shared topics	Cybersecurity Enthusiast - Home	en	information-and-network-security	robotsllmsaihumans	emailphone	none
fbupdates.com ↗	70 match 2 shared topics	FBUpdates \| Cybersecurity, Technology News and Support	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 3
abocharnikov.com ↗	70 match 2 shared topics	Bocharnikov blog \| Quantum \| Cybersecurity	en	information-and-network-security Wix	robotsllmsaihumans	emailphone	none
farsilyez.com ↗	70 match 2 shared topics	Farsilyez — Cybersecurity Intelligence Hub	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersecmentorship.org ↗	70 match 2 shared topics	CyberSecurity Mentoring Hub – Cybersecurity is a journey not a destination.	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	full · 19
achubbard.com ↗	70 match 2 shared topics	Alexander C. Hubbard \| The Cybersecurity Mindset - Cybersecurity from the perspective of a former sysadmin	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
jodrick.com ↗	70 match 2 shared topics	Jodrick Marquinez — Cybersecurity & Cloud	en	information-and-network-security WooCommerce	robotsllmsaihumans	emailphone	none
0xhabib.tech ↗	70 match 2 shared topics	0xHabib - Cybersecurity Learning Journey	en	information-and-network-security	robotsllmsaihumans	emailphone	none
luxetiqueue.com ↗	70 match 2 shared topics	Luxetiqueue: Cybersecurity Insights \| Luxetiqueue	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberhatlab.cfd ↗	69 match 2 shared topics	Cyber Security Lab	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cy-brush.com ↗	69 match 2 shared topics	Cybrush - Practical Cybersecurity for Everyone	en	information-and-network-security	robotsllmsaihumans	emailphone	none
playroom-security.com ↗	69 match 2 shared topics	Playroom Security - Playroom Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
battlewithbytes.io ↗	69 match 2 shared topics	Battle With Bytes \| Cybersecurity, Embedded Hardware & Software Engineering	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.