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DefendWise — Flat-Fee Human Risk Management for MSPs — 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
discoverhoxhunt.com ↗	74 match 1 shared topics	The Hoxhunt Human Risk Management Platform	en	information-and-network-security Webflow	robotsllmsaihumans	emailphone	none
usehoxhunt.com ↗	74 match 1 shared topics	The Hoxhunt Human Risk Management Platform	en	information-and-network-security Webflow	robotsllmsaihumans	emailphone	partial · 8
usecure.io ↗	72 match 1 shared topics	usecure \| Human Risk Management on Autopilot	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sosafe-security.co.uk ↗	70 match 1 shared topics	Security awareness and human risk management	GB en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
4thgen.com ↗	70 match 1 shared topics	Human Risk Management & Security Solutions \| 4th Gen	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybershieldriskmanagement.com ↗	69 match 1 shared topics	Home - Cybershield Risk Management Ltd	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
bcyber.live ↗	69 match 1 shared topics	BCyber - Cybersecurity Risk Management for Australian Organisations	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberprepare.co.uk ↗	69 match 1 shared topics	CyberPrepare: Advanced Cyber Risk Management	GB en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
csrmc.org ↗	69 match 1 shared topics	BAI Information Security: Risk Management Framework Training	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
24zero.cloud ↗	69 match 1 shared topics	24zero \| Cyber Risk Management	en	information-and-network-security	robotsllmsaihumans	emailphone	none
astero.com.au ↗	69 match 1 shared topics	Astero - Cyber Security & Risk Management	AU en	information-and-network-security	robotsllmsaihumans	emailphone	none
defendis.net ↗	69 match 1 shared topics	Simplified External Cyber Risk Management - Defendis	en	information-and-network-security	robotsllmsaihumans	emailphone	none
defendis.org ↗	69 match 1 shared topics	Simplified External Cyber Risk Management - Defendis	en	information-and-network-security	robotsllmsaihumans	emailphone	none
css-security.sbs ↗	68 match 1 shared topics	CSS Security System — Smart Security Management Platform for Laos	en	information-and-network-security	robotsllmsaihumans	emailphone	none
usecertguard.com ↗	68 match 1 shared topics	CertGuard - SSL Certificate Management for ISPs	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyb4x.com ↗	68 match 1 shared topics	Cyb4X - One of the best Information Security Risk Management company	en	information-and-network-security	robotsllmsaihumans	emailphone	none
plexsecurity.ai ↗	67 match 1 shared topics	Plex Security - Phishing Risk Management Platform \| Protect Against Human-Driven Threats	en	information-and-network-security	robotsllmsaihumans	emailphone	none
security-management-systems.co.uk ↗	67 match 1 shared topics	Security Mananagement Systems	GB 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.