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AI Data Filtering Platform for Confident AI | Secuvy — 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
forcepoint.com ↗	70 match shared topic	Forcepoint: The #1 AI Data Security Platform	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
accessdata.com ↗	70 match shared topic	Exterro \| AI-Powered Data Risk Management Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
relyance.ai ↗	70 match shared topic	AI data security platform	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
bigid.com ↗	70 match shared topic	BigID: Enterprise Data Security Platform for DSPM & AI	Israel~ en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
nightfall.ai ↗	70 match shared topic	Nightfall: AI Data Security & Data Loss Prevention Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
exterro.com ↗	70 match shared topic	Exterro \| AI-Powered Data Risk Management Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
cyera.com ↗	70 match shared topic	AI Security Platform \| Protect Data & Secure AI \| Cyera	en	artificial-intelligence	robots llmsaihumans	emailphone	none
cyberhaven.com ↗	70 match shared topic	Stop Data Exfiltration with the AI & Data Security Platform (DSPM, DLP & Insider Risk) \| Cyberhaven	United States~ en	information-and-network-security Webflow	robotsllmsaihumans	emailphone	none
websense.com ↗	70 match shared topic	Forcepoint: The #1 AI Data Security Platform	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
sentinelone.com ↗	62 match shared topic	SentinelOne \| AI-Powered Enterprise Cybersecurity Platform	en	information-and-network-security	robots llmsaihumans	emailphone	none
securitypal.com ↗	62 match shared topic	Cybersecurity Assurance Management Platform: AI + Certified Experts \| SecurityPal AI	United States~ en	information-and-network-security HubSpot CMS	robotsllmsaihumans	emailphone	none
wald.ai ↗	62 match shared topic	Wald: AI Data Loss Prevention (AI DLP) and Secure LLM Access for Enterprises	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
intigriti.com ↗	62 match shared topic	Leading global bug bounty platform \| Intigriti	en	information-and-network-security DatoCMS	robotsllmsaihumans	emailphone	none
yoti.com ↗	62 match shared topic	Building the world's trusted identity platform • Yoti	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	partial · 8
ipswitch.com ↗	62 match shared topic	Transfer Data the Secure & Compliant Way \| Progress	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
darktrace.com ↗	62 match shared topic	Darktrace \| The Essential AI Cybersecurity Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
varonis.com ↗	62 match shared topic	Varonis \| Leader in Data and AI Security. For Cloud, SaaS and On-Prem	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
getastra.com ↗	62 match shared topic	Astra Security - AI Powered Continuous Pentest Platform	en	artificial-intelligence Webflow	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.