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Victor Llivina — Software Engineer & Cybersecurity — 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
aahmed.org ↗	76 match 1 shared topics	Ashar S. Ahmed — Security & Software Engineer · CISSP	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
zeshanejaz.com ↗	76 match 1 shared topics	Zeshan Ejaz – Software Engineer & Cybersecurity Specialist \| UAE to Canada	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kevin-muirhead.com ↗	76 match 1 shared topics	Kevin Muirhead — Software Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kumarrahul.xyz ↗	75 match 1 shared topics	Rahul Kumar — Software Engineer & DevSecOps	en	information-and-network-security	robotsllmsaihumans	emailphone	none
nagareyash.com ↗	75 match 1 shared topics	Yash Nagare — Cybersecurity Engineer & Researcher	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
kentoncourtois.com ↗	74 match 1 shared topics	Kenton Courtois — Cybersecurity Engineer & AI Expert	United States~ en	information-and-network-security	robots llmsaihumans	emailphone	none
abrarul.tech ↗	73 match 1 shared topics	Abrarul Hasan \| Cybersecurity & Software Engineering	en	information-and-network-security	robotsllmsaihumans	emailphone	none
3rabdev.online ↗	72 match 1 shared topics	3ràb \| Software Engineer & Security Researcher	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
abhinavverma.codes ↗	72 match 1 shared topics	Abhinav Verma - Cybersecurity Engineer & Digital Defense Specialist	en	information-and-network-security	robotsllmsaihumans	emailphone	none
divyanksingh.com ↗	72 match 1 shared topics	Divyank Singh — Frontend Engineer & Application Security	India~ en	information-and-network-security	robots llmsaihumans	emailphone	none
getrunsafesecurity.com ↗	72 match 1 shared topics	Embedded Software Cybersecurity Solutions \| RunSafe Security	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
myrunsafesecurity.com ↗	72 match 1 shared topics	Embedded Software Cybersecurity Solutions \| RunSafe Security	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
zerovectorsec.com ↗	72 match 1 shared topics	Zero Vector — Cybersecurity & Intelligence	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
2bware.com ↗	72 match 1 shared topics	2Bware Cybersecurity	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
allainborno.tech ↗	71 match 1 shared topics	Allain Borno — Cybersecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
akarshsingh.com ↗	71 match 1 shared topics	Akarsh Singh — Cybersecurity Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
khalidalrabbi.com ↗	71 match 1 shared topics	Khalid Al Rabbi \| Cybersecurity & DevOps Engineer \| IT Specialist	United States~ en	information-and-network-security	robotsllmsaihumans	email phone	partial · 8
dispatchdata.works ↗	71 match 1 shared topics	Dispatch Dataworks LLC — Software, Data, Security	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.