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Coverbase - Agentic third-party risk and security — 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 Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
endorlabs.com ↗	65 match shared topic	Endor Labs \| Agentic Application Security Platform	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
salt.security ↗	65 match shared topic	Salt Security: Agentic AI Security, MCP Discovery, and API Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cytex.io ↗	65 match shared topic	Leading Cybersecurity Solutions & Risk Management \| Cytex.io	en	information-and-network-security WordPress	robots llmsaihumans	email phone	none
livingsecurity.com ↗	65 match shared topic	Living Security \| AI-Native Human Risk Management	United States~ en	artificial-intelligence HubSpot	robotsllmsaihumans	emailphone	none
thirdkey.ai ↗	65 match shared topic	ThirdKey.ai - Securing the Agentic Future	United States~ en	information-and-network-security	robots llmsaihumans	emailphone	none
cyberhaven.com ↗	65 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
swimlane.com ↗	65 match shared topic	Swimlane: Agentic AI Security Automation, Hyperautomation, SOC Automation	United States~ en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
babelstreet.com ↗	65 match shared topic	Agentic AI for Threat, Identity, and Vendor Risk \| Babel Street	en	information-and-network-security Sanity	robots llmsaihumans	emailphone	none
sekoia.io ↗	65 match shared topic	Sekoia \| Agentic Cybersecurity Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
techaro.lol ↗	60 match shared topic	Techaro — Security Software & AI Consultancy	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hackerone.com ↗	60 match shared topic	HackerOne \| Leader in Continuous Threat Exposure Management \| Security for AI	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
tenable.com ↗	60 match shared topic	Vulnerability and exposure management \| Cloud and AI security \| Tenable®	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
sentinelone.com ↗	60 match shared topic	SentinelOne \| AI-Powered Enterprise Cybersecurity Platform	en	information-and-network-security	robots llmsaihumans	emailphone	none
snyk.io ↗	60 match shared topic	Snyk AI Security Fabric \| Secure Code, Models & Agents \| Snyk	en	information-and-network-security	robotsllmsaihumans	emailphone	none
que.com ↗	60 match shared topic	QUE.com - Artificial Intelligence Machine Learning CyberSecurity Robotics Blockchain	en	artificial-intelligence WordPress WooCommerce	robots llmsaihumans	emailphone	none
securitypal.com ↗	60 match shared topic	Cybersecurity Assurance Management Platform: AI + Certified Experts \| SecurityPal AI	United States~ en	information-and-network-security HubSpot CMS	robotsllmsaihumans	emailphone	none
forcepoint.com ↗	60 match shared topic	Forcepoint: The #1 AI Data Security Platform	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
verkada.com ↗	60 match shared topic	Security Systems for the Modern Enterprise \| Verkada	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.