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Unified Data Protection Platform for Enterprise | AvePoint — 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
dpenterprise.co.uk ↗	75 match 1 shared topics	Data Protection Enterprise	United Kingdom en	information-and-network-security	robotsllmsaihumans	email phone	none
dataprotectionplatform.com ↗	72 match 1 shared topics	Top 12 Data Protection Platforms 2026 — Independent Enterprise Comparison & Pricing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
openblockmail.com ↗	72 match 1 shared topics	ULedger \| The Quantum-Safe Blockchain Platform for Enterprise	en	information-and-network-security Webflow	robotsllmsaihumans	emailphone	none
vishguard.com ↗	71 match 1 shared topics	VishGuard - Voice Phishing Protection for Enterprises	en	information-and-network-security	robotsllmsaihumans	emailphone	none
data-protection-matters.com ↗	71 match 1 shared topics	Holistic Data Protection \| Global Expertise \| Resilient Growth	en	information-and-network-security Wix	robots llmsaihumans	emailphone	none
1ifp.com ↗	71 match 1 shared topics	IFP - Image Fingerprint Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
anugal.ai ↗	71 match 1 shared topics	Identity Governance & IGA Platform for Enterprises \| Anugal	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
0tracelabs.com ↗	70 match 1 shared topics	0TraceLabs - Complete Privacy Protection Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
datapropartners.com ↗	70 match 1 shared topics	Data Protection Partners Home	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dataprotectioncenter.com ↗	70 match 1 shared topics	Your trusted online source for Data Security and Management Information \| Data Protection Center	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
facidprotection.com ↗	70 match 1 shared topics	Facid Protection - Enterprise Online Brand Protection	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
3rdkey.net ↗	70 match 1 shared topics	3rdKey Password Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
3rdkey.org ↗	70 match 1 shared topics	3rdKey Password Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dataprotectionservices.co.uk ↗	70 match 1 shared topics	Managing data protection	United Kingdom en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
datastark.dev ↗	70 match 1 shared topics	DataStark - Enterprise OSINT Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
resqphone.com ↗	69 match 1 shared topics	resQphone - Protect Your Digital Life	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
cybersolve.uk ↗	69 match 1 shared topics	Information Security and Data Protection from Cybersolve	United Kingdom en	information-and-network-security	robotsllmsaihumans	emailphone	none
dataprivacysimplified.co.uk ↗	69 match 1 shared topics	Data Privacy Simplified \| Data Protection	United Kingdom 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.