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Securex alternatives & similar sites

Secure X | AI-Driven Cloud 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 Information And Network Security →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
tenable.com ↗	70 match shared topic	Vulnerability and exposure management \| Cloud and AI security \| Tenable®	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
snyk.io ↗	70 match shared topic	Snyk AI Security Fabric \| Secure Code, Models & Agents \| Snyk	en	information-and-network-security	robotsllmsaihumans	emailphone	none
wiz.io ↗	70 match shared topic	Wiz: AI Cybersecurity for All Your Cloud and AI Applications	en	information-and-network-security DatoCMS	robotsllmsaihumans	emailphone	none
varonis.com ↗	70 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
snyk.co ↗	70 match shared topic	Snyk AI Security Fabric \| Secure Code, Models & Agents \| Snyk	Colombia en	information-and-network-security	robotsllmsaihumans	emailphone	none
datastew.com ↗	70 match shared topic	Technology Focused Security Integrator, AI, Cloud Solutions, Dallas	United States~ en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
abnormal.ai ↗	70 match shared topic	Cloud Email Security - Block Malicious Email Attacks \| Abnormal AI	en	information-and-network-security	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
cyera.com ↗	70 match shared topic	AI Security Platform \| Protect Data & Secure AI \| Cyera	en	artificial-intelligence	robots llmsaihumans	emailphone	none
ironscales.com ↗	70 match shared topic	Cloud Email Security Solutions – AI Threat Protection \| IRONSCALES	United States~ en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
abnormalsecurity.com ↗	70 match shared topic	Cloud Email Security - Block Malicious Email Attacks \| Abnormal AI	en	information-and-network-security	robotsllmsaihumans	emailphone	none
seqrite.com ↗	70 match shared topic	Seqrite: AI-Driven Enterprise Cybersecurity Solutions Company	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	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
okta.com ↗	62 match shared topic	Secure Identity for Employees, Customers, and AI \| Okta	en	information-and-network-security Adobe Experience Manager	robotsllmsaihumans	emailphone	none
auth0.com ↗	62 match shared topic	Secure AI Agent & User Authentication \| Auth0	United States~ en	artificial-intelligence	robots llmsaihumans	emailphone	none
sentinelone.com ↗	62 match shared topic	SentinelOne \| AI-Powered Enterprise Cybersecurity Platform	en	information-and-network-security	robots llmsaihumans	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

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.