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Doron Aloosh - Cybersecurity Expert & CISO | Application Security — 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
vladligai.com ↗	73 match 1 shared topics	Vlad Ligai - Security Engineer \| Application Security Expert	en	information-and-network-security	robotsllmsaihumans	emailphone	full · 16
conroyventures.com ↗	71 match 1 shared topics	Sean P. Conroy - Cybersecurity Expert & Author	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dhruvp111296.com ↗	71 match 1 shared topics	Dhruv Patel \| Security Engineer at CIVICA - Cybersecurity Expert	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
0xprasanna.com ↗	70 match 1 shared topics	Prasanna \| Application Security Portfolio	en	information-and-network-security	robotsllmsaihumans	email phone	none
digitalsecurefix.net ↗	70 match 1 shared topics	Digital Secure Fix \| Cybersecurity Experts	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
mehran.co ↗	70 match 1 shared topics	Mehran Goudarzi - Cybersecurity Expert	Colombia en	information-and-network-security	robotsllmsaihumans	emailphone	none
shubhamchaskar.com ↗	70 match 1 shared topics	Cybersecurity Expert in Pentesting, Red Teaming & Cloud Security	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
0xwinter.com ↗	70 match 1 shared topics	0xWinter \| Alvaro Saura - Cybersecurity Expert	en	information-and-network-security	robotsllmsaihumans	emailphone	none
koushikpal.com ↗	70 match 1 shared topics	Koushik Pal \| Cybersecurity Expert	en	information-and-network-security	robotsllmsaihumans	emailphone	none
4foxsec.com ↗	70 match 1 shared topics	4FOX Security - Expert Cyber Security Services	en	information-and-network-security	robotsllmsaihumans	emailphone	none
alchemydefense.io ↗	69 match 1 shared topics	Alchemy Defense \| Cybersecurity Experts	en	information-and-network-security	robotsllmsaihumans	emailphone	none
overtswarm.io ↗	69 match 1 shared topics	Offensive Cybersecurity Experts - CovertSwarm	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
overtswarm.org ↗	69 match 1 shared topics	Offensive Cybersecurity Experts - CovertSwarm	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
overtswarm.net ↗	69 match 1 shared topics	Offensive Cybersecurity Experts - CovertSwarm	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
boostsecurity.io ↗	69 match 1 shared topics	Application Security Management & Supply Chain Protection \| BoostSecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1infosec.co.uk ↗	69 match 1 shared topics	Offensive Cybersecurity Experts - CovertSwarm	United Kingdom en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
1infosec.com ↗	69 match 1 shared topics	Offensive Cybersecurity Experts - CovertSwarm	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
1informationsecurity.com ↗	69 match 1 shared topics	Offensive Cybersecurity Experts - CovertSwarm	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.