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DSU Cyber Camp for High Schoolers - Dakota State University — 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
decaturcybersecurity.org ↗	69 match 1 shared topics	GRB Decatur Cybersecurity - Top-Notch High School Cybersecurity Club	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersecurity.sydney ↗	68 match 1 shared topics	Cybersecurity Society Sydney University	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
entreesolutions.co.uk ↗	67 match 1 shared topics	Visitor Management Solution for Schools with Enhanced Cybersecurity	United Kingdom en	information-and-network-security	robotsllmsaihumans	email phone	none
cyber100.org ↗	67 match 1 shared topics	Cyber 100 \| Bradley University	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1defender.com ↗	66 match 1 shared topics	1Defender - Unified cybersecurity for total defense	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aomori-ichiba.com ↗	66 match 1 shared topics	Why RMIT University is Leading in Australian Cybersecurity Education \| Aomori Ichiba	Australia~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersecuritycapabilitymodel.com ↗	66 match 1 shared topics	Cybersecurity - Cyber City Map	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
cybercare.info ↗	66 match 1 shared topics	Home - Cyber Care	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
stateofcyber.com ↗	66 match 1 shared topics	Cybersecurity - Secure State Cyber	en	information-and-network-security Squarespace Magento	robotsllmsaihumans	emailphone	none
cyberbridgefund.org ↗	66 match 1 shared topics	Cyber Bridge Fund \| Cybersecurity Scholarships & Grants \| Fusion Cyber	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cryptoworks21.net ↗	66 match 1 shared topics	Home \| Cryptoworks21 \| University of Waterloo	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
cryptoworks21.org ↗	66 match 1 shared topics	Home \| Cryptoworks21 \| University of Waterloo	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
cryptoworks21.info ↗	66 match 1 shared topics	Home \| Cryptoworks21 \| University of Waterloo	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
cyberleech.blog ↗	66 match 1 shared topics	Cyberleech – Cyber Security for CSC301	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cyb-r.com ↗	66 match 1 shared topics	Cyb-r — Unified Cybersecurity & AV for Secured Spaces	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybertarget.tech ↗	66 match 1 shared topics	Cyber Target — Advanced Cybersecurity Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersecurityeducation.org ↗	66 match 1 shared topics	Guide to Cyber Security Schools and Programs \| Cyber Security Education	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
cyber-resilience-act.info ↗	66 match 1 shared topics	EU Cyber Resilience Act	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.