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#1 Zero Trust Cybersecurity Platform | Xcitium — 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
hitrustalliance.net ↗	70 match shared topic	Cybersecurity Risk Management and Information Protection \| HITRUST	United States~ en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
sprinto.com ↗	70 match shared topic	Autonomous Trust Platform for Compliance, Risk & GRC \| Sprinto	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
heimdalsecurity.com ↗	70 match shared topic	Heimdal® - One Unified Cybersecurity Platform. Total Security.	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
mobileiron.com ↗	70 match shared topic	MobileIron: A Leader in UEM & Zero Trust Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
fortinetfederal.com ↗	70 match shared topic	Trusted Cybersecurity for US Government - Fortinet Federal	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	partial · 8
todyl.com ↗	70 match shared topic	Best-in-Class Cybersecurity Platform & Services \| Todyl	en	information-and-network-security HubSpot CMS	robotsllmsaihumans	emailphone	none
immunityinc.com ↗	70 match shared topic	Zero Trust Network Access & Fraud Protection Solutions \| AppGate	en	information-and-network-security	robotsllmsaihumans	emailphone	none
zerofox.com ↗	70 match shared topic	ZeroFox \| External Cybersecurity.	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
bitsight.com ↗	70 match shared topic	Bitsight \| The Cyber Risk Platform Trusted by the Fortune 500	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
appgate.com ↗	70 match shared topic	Zero Trust Network Access & Fraud Protection Solutions \| AppGate	en	information-and-network-security	robotsllmsaihumans	emailphone	none
threater.com ↗	70 match shared topic	threatER \| Enabling Zero-Trust at Scale	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
guardz.com ↗	70 match shared topic	Guardz: Unified Cybersecurity Platform Built for MSP	Israel~ en	information-and-network-security WordPress	robots llms aihumans	emailphone	none
domaintools.com ↗	62 match shared topic	Threat Intelligence & Domain Security Platform \| DomainTools	en	information-and-network-security	robotsllmsaihumans	emailphone	none
trustarc.com ↗	62 match shared topic	Data Privacy Management Software & Solutions \| TrustArc	United States~ en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
eset.com ↗	62 match shared topic	ESET Cybersecurity \| Enterprise, Business and Home Solutions \| ESET	en	information-and-network-security TYPO3	robotsllmsaihumans	emailphone	none
fortinet.com ↗	62 match shared topic	Global Leader of Cybersecurity Solutions and Services \| Fortinet	en	information-and-network-security Adobe Experience Manager	robotsllmsaihumans	emailphone	none
truste.com ↗	62 match shared topic	Data Privacy Management Software & Solutions \| TrustArc	United States~ en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
coram.ai ↗	62 match shared topic	Coram: Unified Physical Security Platform	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.