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Sites similar to dfensive.info

Dfensive alternatives & similar sites

dFensive — Cybersecurity, AI, Risk, Education, Community — 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
mchugh.ai ↗	71 match 2 shared topics	Jeremy McHugh, D.Sc. — Cybersecurity & AI	United States~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
clearpoint.ch ↗	70 match 2 shared topics	Clearpoint \| Cybersecurity, automation, and technical project delivery	Switzerland en	artificial-intelligence	robotsllmsaihumans	emailphone	none
3mpath.net ↗	70 match 2 shared topics	3mpath — AI-Cybersecurity Architect	en	information-and-network-security	robotsllmsaihumans	emailphone	none
siberninja.com ↗	70 match 2 shared topics	Siber Ninja \| Offensive Security Platform & Cybersecurity Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 2
ai-security-consultant.ch ↗	69 match 2 shared topics	AI Security Consultant — Automated Cybersecurity for SMEs	Switzerland en	artificial-intelligence	robotsllmsaihumans	emailphone	none
outthinkthreats.com ↗	69 match 2 shared topics	OutThink \| Cybersecurity Human Risk Management Platform	en	artificial-intelligence Sanity	robotsllmsaihumans	emailphone	none
overholding.ai ↗	69 match 2 shared topics	Over Holding — Physical AI, Private AI, Cybersecurity	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
outthnk.com ↗	69 match 2 shared topics	OutThink \| Cybersecurity Human Risk Management Platform	en	artificial-intelligence Sanity	robotsllmsaihumans	emailphone	none
outthinking.net ↗	69 match 2 shared topics	OutThink \| Cybersecurity Human Risk Management Platform	en	artificial-intelligence Sanity	robotsllmsaihumans	emailphone	none
compsimple.com ↗	69 match 2 shared topics	Compsimple — Federal Cybersecurity and AI Governance	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kraion.com ↗	69 match 2 shared topics	Kraion — IT, Cybersecurity & AI Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
vivesecurity.com ↗	69 match 2 shared topics	ViveSecurity - AI-Powered Cybersecurity Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
krishnac.com ↗	68 match 2 shared topics	Krishna C - Director, Cybersecurity x Agentic AI	United States~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
moosaahmed.com ↗	68 match 2 shared topics	Muhammad Moosa Ahmed - Cybersecurity & AI Expert	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bburgh.com ↗	68 match 2 shared topics	Bombastic Burgh — Building the Future of AI, Web3 & Cybersecurity	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
compunite.com ↗	68 match 2 shared topics	AI-Powered IT & Cybersecurity Solutions \| Mindcore	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
vizazigroup.com ↗	68 match 2 shared topics	Vizazi Group Cybersecurity and AI Solutions \| Vizazi Group	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
eugenetawiah.com ↗	68 match 2 shared topics	Eugene Tawiah \| Cybersecurity Executive, Advisor & AI Security Leader	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.