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My Open Journal – I write about utilizing AI/ML for cybersecurity and other cool things. — 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
vizazigroup.com ↗	68 match 2 shared topics	Vizazi Group Cybersecurity and AI Solutions \| Vizazi Group	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
compsimple.com ↗	67 match 2 shared topics	Compsimple — Federal Cybersecurity and AI Governance	en	information-and-network-security	robotsllmsaihumans	emailphone	none
lakmal.co ↗	67 match 2 shared topics	Dr. Lakmal Rupasinghe \| PhD, CISSP, CISA - AI/ML & Cybersecurity Expert	Colombia en	information-and-network-security	robotsllmsaihumans	emailphone	none
compunite.com ↗	67 match 2 shared topics	AI-Powered IT & Cybersecurity Solutions \| Mindcore	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
etbix.com ↗	67 match 2 shared topics	Cetbix® \| AI-Powered Enterprise Platform for Cybersecurity, GRC, and OT Governance	UK~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
vivesecurity.com ↗	67 match 2 shared topics	ViveSecurity - AI-Powered Cybersecurity Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
outthinking.net ↗	67 match 2 shared topics	OutThink \| Cybersecurity Human Risk Management Platform	en	artificial-intelligence Sanity	robotsllmsaihumans	emailphone	none
outthinkthreats.com ↗	67 match 2 shared topics	OutThink \| Cybersecurity Human Risk Management Platform	en	artificial-intelligence Sanity	robotsllmsaihumans	emailphone	none
outthnk.com ↗	67 match 2 shared topics	OutThink \| Cybersecurity Human Risk Management Platform	en	artificial-intelligence Sanity	robotsllmsaihumans	emailphone	none
3mpath.net ↗	67 match 2 shared topics	3mpath — AI-Cybersecurity Architect	en	information-and-network-security	robotsllmsaihumans	emailphone	none
vitruviuscyber.com ↗	67 match 2 shared topics	Vitruvius Cyber Systems \| AI Security and Zero Trust Advisory	en	information-and-network-security	robots llmsaihumans	emailphone	none
ai-security-consultant.ch ↗	67 match 2 shared topics	AI Security Consultant — Automated Cybersecurity for SMEs	Switzerland en	artificial-intelligence	robotsllmsaihumans	emailphone	none
mchugh.ai ↗	67 match 2 shared topics	Jeremy McHugh, D.Sc. — Cybersecurity & AI	United States~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
heyekai.com ↗	67 match 2 shared topics	Ekai CoWork — Secure AI Co-Workers for Cybersecurity Teams	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
bayesiancybersecurity.com ↗	66 match 2 shared topics	Bayesian Cybersecurity \| Mathematical Threat Detection & MW Framework	en	information-and-network-security	robotsllmsaihumans	emailphone	none
krishnac.com ↗	66 match 2 shared topics	Krishna C - Director, Cybersecurity x Agentic AI	United States~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
1-pro.net ↗	66 match 2 shared topics	1PRO Solutions - AI-Powered Cybersecurity & Innovation \| Enterprise Security Services	United States~ en	information-and-network-security	robotsllmsaihumans	email phone	none
diem360.com ↗	66 match 2 shared topics	Diem360 \| AI-Powered Cybersecurity Intelligence	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.