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SecurityRing - AI-Powered Security Training for SMBs — 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
sentinelone.com ↗	70 match shared topic	SentinelOne \| AI-Powered Enterprise Cybersecurity Platform	en	information-and-network-security	robots llmsaihumans	emailphone	none
getastra.com ↗	70 match shared topic	Astra Security - AI Powered Continuous Pentest Platform	en	artificial-intelligence Webflow	robotsllmsaihumans	emailphone	none
adaptivesecurity.com ↗	70 match shared topic	Protect Against Deepfakes and AI-Powered Attacks \| Adaptive Security	en	information-and-network-security Sanity	robots llmsaihumans	emailphone	none
avatier.com ↗	70 match shared topic	AI Powered IAM & Security Solutions - Avatier	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
escape.tech ↗	70 match shared topic	Escape: AI-Powered Offensive Security Platform	en	information-and-network-security Webflow	robotsllmsaihumans	emailphone	none
cynet.com ↗	70 match shared topic	Cynet Unified, AI-Powered Security Platform for MSPs & SMEs	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
orca.security ↗	70 match shared topic	Orca Security \| AI-Powered Cloud Security Platform & CNAPP	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
aicybercheck.com ↗	70 match shared topic	Streamline Your IT Security Compliance: Assess, Manage, and Automate with AI-Powered Precision \| aicybercheck.com	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
techaro.lol ↗	62 match shared topic	Techaro — Security Software & AI Consultancy	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hackerone.com ↗	62 match shared topic	HackerOne \| Leader in Continuous Threat Exposure Management \| Security for AI	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
tenable.com ↗	62 match shared topic	Vulnerability and exposure management \| Cloud and AI security \| Tenable®	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
snyk.io ↗	62 match shared topic	Snyk AI Security Fabric \| Secure Code, Models & Agents \| Snyk	en	information-and-network-security	robotsllmsaihumans	emailphone	none
que.com ↗	62 match shared topic	QUE.com - Artificial Intelligence Machine Learning CyberSecurity Robotics Blockchain	en	artificial-intelligence WordPress WooCommerce	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
forcepoint.com ↗	62 match shared topic	Forcepoint: The #1 AI Data Security Platform	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
verkada.com ↗	62 match shared topic	Security Systems for the Modern Enterprise \| Verkada	en	information-and-network-security	robotsllmsaihumans	emailphone	none
accessdata.com ↗	62 match shared topic	Exterro \| AI-Powered Data Risk Management Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
wiz.io ↗	62 match shared topic	Wiz: AI Cybersecurity for All Your Cloud and AI Applications	en	information-and-network-security DatoCMS	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.