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Cybersecurity & Digital Forensics Summer Bootcamp — Sul Ross State University CoE — 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
zycorasolutions.com ↗	76 match 1 shared topics	Cybersecurity & Digital Forensics Portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	none
keyrios.com ↗	73 match 1 shared topics	Keyrios \| Crime Intelligence, Cybersecurity & Digital Forensics	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0ffsec.com ↗	71 match 1 shared topics	Offsec Labs - Digital Forensics & Cybersecurity Services	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aguntuk.online ↗	71 match 1 shared topics	4GUn7uk - Elite Cybersecurity Team \| CTF, SOC, VAPT, Digital Forensics, OSINT	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cscbinus.org ↗	71 match 1 shared topics	CyberSecurity Community	en	information-and-network-security	robotsllmsaihumans	emailphone	none
beningoma.com ↗	70 match 1 shared topics	Beni Ngoma — Cybersecurity & Digital Transformation Expert	en	information-and-network-security	robotsllmsaihumans	emailphone	none
zybergroup.com ↗	70 match 1 shared topics	Zyber Group — Mission-Ready Cybersecurity & Digital Modernization	United States~ en	information-and-network-security	robotsllmsaihumans	email phone	none
abhinavverma.codes ↗	70 match 1 shared topics	Abhinav Verma - Cybersecurity Engineer & Digital Defense Specialist	en	information-and-network-security	robotsllmsaihumans	emailphone	none
reskitlabs.com ↗	70 match 1 shared topics	ResKit Labs - Leading Cybersecurity & Digital Innovation	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xdigi.com ↗	70 match 1 shared topics	0xdigi — Cybersecurity & Offensive Tools	en	information-and-network-security	robotsllmsaihumans	emailphone	none
keshav-rao.com ↗	70 match 1 shared topics	Keshav Rao — Cybersecurity & Development	en	information-and-network-security	robotsllmsaihumans	email phone	none
dbagdigital.com ↗	69 match 1 shared topics	DBAG Digital \| Cybersecurity Consultancy Coventry & Birmingham	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
theironvision.com ↗	69 match 1 shared topics	IronVision — Cybersecurity & GRC	en	information-and-network-security	robotsllmsaihumans	emailphone	none
akhavani.net ↗	69 match 1 shared topics	Ali Akhavani — Security Researcher \| Northeastern University	en	information-and-network-security	robotsllmsaihumans	emailphone	none
zytoniq.com ↗	69 match 1 shared topics	Zytoniq - Cybersecurity & Digital Privacy	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
ajyaad-sweet.shop ↗	69 match 1 shared topics	The Rise of Cybersecurity in the Digital Age	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kiroloskhairy.com ↗	69 match 1 shared topics	Kirolos Khairy — Information Security & Cybersecurity Portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	none
namesec.io ↗	69 match 1 shared topics	Namesec \| Cybersecurity for Digital Names, Domains & Emails	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.