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CUUB.ai — Protect Enterprise Content from Copilots and AI Agents — 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
sylink-protect.com ↗	70 match 1 shared topics	SyLink Protect — Enterprise VPN Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
dpenterprise.co.uk ↗	69 match 1 shared topics	Data Protection Enterprise	GB en	information-and-network-security	robotsllmsaihumans	email phone	none
usemedusa.io ↗	69 match 1 shared topics	Sigil Browser — Secure Browser Agent for Enterprise	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hassiumsolutions.com ↗	68 match 1 shared topics	IAM Services for Enterprise Cybersecurity and Access Control	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
administrative-services.com ↗	68 match 1 shared topics	Administrative Services Group — Enterprise Identity & Access Management	US~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
avertory.com ↗	68 match 1 shared topics	Avertory Limited - Enterprise Cybersecurity Solutions	GB~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybergridsolutions.tech ↗	68 match 1 shared topics	Cybergrid Solutions — Enterprise Cybersecurity & AI Defense	en	information-and-network-security	robotsllmsaihumans	emailphone	none
adeptuslabs.com ↗	68 match 1 shared topics	Adeptus Labs \| Enterprise IAM Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
enterpriseav.com.au ↗	68 match 1 shared topics	Sophos Products and Solutions \| EnterpriseAV.com.au	AU en	information-and-network-security	robotsllmsaihumans	emailphone	none
surfprotect.com ↗	68 match 1 shared topics	SurfProtect Content Filtering \| Exa	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
enterpriseav.co.uk ↗	68 match 1 shared topics	Sophos Products and Solutions \| EnterpriseAV.co.uk	GB en	information-and-network-security	robotsllmsaihumans	emailphone	none
usacyberguard.com ↗	68 match 1 shared topics	USA Cyber Guard \| Enterprise Cybersecurity & Compliance Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
useblackwood.com ↗	68 match 1 shared topics	Blackwood Enterprises \| Cyber Risk & Client Data Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dirx.ai ↗	67 match 1 shared topics	DirX — The Secure Gateway from Agent to Internet	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8
namvoro.com ↗	67 match 1 shared topics	Namvoro - Enterprise Digital Brand Management	US~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
useshieldai.com ↗	67 match 1 shared topics	ShieldAI - Protect Your AI Agents Before Hackers Do	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dentity.com ↗	67 match 1 shared topics	Dentity \| Identity infrastructure for people, enterprises, and agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
joindentity.com ↗	67 match 1 shared topics	Dentity \| Identity infrastructure for people, enterprises, and agents	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.