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Shuronjit Sumon Biswas | IT Professional & Cybersecurity Analyst — 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
ianmuturi.com ↗	75 match 1 shared topics	Ian Muturi - Cybersecurity Professional	en	information-and-network-security	robotsllmsaihumans	emailphone	none
iamgomes.com ↗	75 match 1 shared topics	Regan Gomes \| SOC Analyst & Cybersecurity Professional \| New York, NY	United States~ en	information-and-network-security	robotsllmsaihumans	email phone	none
dbsoto.com ↗	75 match 1 shared topics	Dylan Soto \| Cybersecurity & IT Professional	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberreaper.team ↗	75 match 1 shared topics	CyberReaper \| Cybersecurity Professional & Red Team Operator	en	information-and-network-security	robotsllmsaihumans	emailphone	none
tridesecurity.com ↗	74 match 1 shared topics	TRIDE SECURITY - Professional Cybersecurity Consultancy	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybercert.pro ↗	74 match 1 shared topics	CyberCert.pro \| Professional Cybersecurity Services	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kabirsuri.net ↗	73 match 1 shared topics	Kabir Suri — Cybersecurity Professional	en	information-and-network-security	robotsllmsaihumans	emailphone	none
khushalanand.com ↗	73 match 1 shared topics	Khushal Anand · Cybersecurity Analyst & GRC Specialist	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kevinschmidlin.com ↗	73 match 1 shared topics	Kevin Schmidlin - Cybersecurity Professional	en	information-and-network-security	robotsllmsaihumans	emailphone	none
icscyberpro.net ↗	73 match 1 shared topics	ICS / OT Cybersecurity Professional's Commnunity	en	information-and-network-security Ghost	robotsllmsaihumans	emailphone	none
n2mas.com ↗	73 match 1 shared topics	N2Mas - Professional Cybersecurity Services \| London UK Headquarters	en	information-and-network-security	robotsllmsaihumans	email phone	none
lbreitenberger.com ↗	72 match 1 shared topics	Leo Breitenberger - Cyber Security Professional	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sibiriworks.com ↗	72 match 1 shared topics	Sibiri Yakubu - Cybersecurity Professional \| GRC & Security Operations	en	information-and-network-security	robotsllmsaihumans	emailphone	none
skelionenterprises.com ↗	72 match 1 shared topics	Skelion Shield - Professional Cybersecurity Services	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dejesussec.com ↗	72 match 1 shared topics	DeJesusSEC \| Professional Penetration Testing & Cybersecurity Services	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
crytrix.com ↗	72 match 1 shared topics	crytrix \| Cybersecurity Professional	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberstartus.org ↗	72 match 1 shared topics	SecureMyStack - Professional Cybersecurity Services \| Penetration Testing & Compliance	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
sio4-group.com ↗	72 match 1 shared topics	SecureMyStack - Professional Cybersecurity Services \| Penetration Testing & Compliance	United States~ 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.