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Csri alternatives & similar sites

Deakin Cyber Research and Innovation Hub — 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
connectop-innovate.com ↗	67 match 1 shared topics	OP Innovate Penetration Testing, PTaaS and Incident Response	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
hhouseholder.com ↗	67 match 1 shared topics	Hannah H. \| Space Cyber Threat Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
3hnovation.com ↗	66 match 1 shared topics	3hnovation – Technology and Cybersecurity Consulting	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
hexbreak.io ↗	66 match 1 shared topics	Hexbreak Research — Cyber Security & Threat Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xpolar.com ↗	66 match 1 shared topics	0xpolar - Cybersecurity Research & Offensive Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xprial.com ↗	66 match 1 shared topics	Prial Islam - Ethical Hacker \| Cyber Security Researcher	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
0deepresearch.com ↗	65 match 1 shared topics	0DeepResearch Insights	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cryptosec.co ↗	65 match 1 shared topics	Cryptosec - Crypto Cybersecurity and Investigations	Colombia en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
1ftp.com ↗	65 match 1 shared topics	The New Era of File Transfer Protocols: Innovations and Trends	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bbitservices.com ↗	65 match 1 shared topics	Baba Baidyanath IT Services – Innovation in Every Step	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
conceptainnovation.com ↗	65 match 1 shared topics	Concepta Innovation Services \| Microsoft Azure AI Partner	United States~ en	information-and-network-security	robotsllmsaihumans	email phone	none
hexplot.com ↗	65 match 1 shared topics	Hexplot – Security Research	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
meetcybersec.org ↗	65 match 1 shared topics	Cybersecurity Solutions \| CyberSec And I	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
0xsha.io ↗	65 match 1 shared topics	0xSHA · Security Research & Engineering	en	information-and-network-security	robotsllmsaihumans	emailphone	none
comsecuris.com ↗	65 match 1 shared topics	Comsecuris Security Research & Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
concertocyber.com ↗	65 match 1 shared topics	Concerto - Your Cyber Automation Conductor	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dcrinstitute.org ↗	64 match 1 shared topics	Data Clean Room Institute — Standards and research for privacy-safe data collaboration	en	information-and-network-security	robots llmsaihumans	emailphone	none
1stcyberopsgroup.com ↗	64 match 1 shared topics	Home \| 1st Cyber Operations Group	en	information-and-network-security Wix	robots llmsaihumans	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.