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Averlon | Agentic AI for Faster Vulnerability Remediation — 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
cybherfence.org ↗	69 match 2 shared topics	Cybherfence — Cyber Vulnerability Assessment	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
breachme.ai ↗	68 match 2 shared topics	Breachme AI - AI-Powered Penetration Testing \| Find Vulnerabilities Fast	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
mycodeshield.com ↗	68 match 2 shared topics	Mycodeshield - AI-Powered Code Vulnerability Scanner	en	information-and-network-security	robotsllmsaihumans	emailphone	none
layer8labs.io ↗	68 match 2 shared topics	AI Ticket Triage, Vulnerability Scanning & Compliance Automation \| Layer 8 Labs	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
backslash.security ↗	68 match 2 shared topics	Backslash \| Agentic AI Endpoint Security Platform	en	information-and-network-security Webflow	robotsllmsaihumans	emailphone	none
a0.ai ↗	68 match 2 shared topics	Secure AI Agent & User Authentication \| Auth0	United States~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
abeaugh.com ↗	68 match 2 shared topics	Agentic Intelligence for National Security \| Zignal Labs	en	information-and-network-security Storyblok	robotsllmsaihumans	email phone	none
learnidentity.com ↗	68 match 2 shared topics	Secure AI Agent & User Authentication \| Auth0	United States~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
myauth0.com ↗	68 match 2 shared topics	Secure AI Agent & User Authentication \| Auth0	United States~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
precize.io ↗	68 match 2 shared topics	Trusted Agentic Automation for Enterprises	en	information-and-network-security	robotsllmsaihumans	emailphone	none
precize.ai ↗	68 match 2 shared topics	Trusted Agentic Automation for Enterprises	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sitescanai.app ↗	67 match 2 shared topics	SiteScan AI – AI-Powered Website Security & Vulnerability Scanner	en	information-and-network-security	robotsllmsaihumans	emailphone	none
siemlane.com ↗	67 match 2 shared topics	Swimlane: Agentic AI Security Automation, Hyperautomation, SOC Automation	United States~ en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
abapsecurity.com ↗	67 match 2 shared topics	SAP Security Platform // SAP Vulnerability Assessment // RedRays	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	partial · 8
brinqa.com ↗	67 match 2 shared topics	Brinqa \| AI-Powered Vulnerability & Exposure Management Platform	United States~ en	artificial-intelligence Sanity	robotsllmsaihumans	emailphone	none
defensus.ai ↗	67 match 2 shared topics	Defensus AI - Agentic AI Attack Simulation Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
meetaembitteam.org ↗	66 match 2 shared topics	Aembit \| Agentic AI and Workload Identity & Access Management	en	information-and-network-security WordPress Lightspeed	robotsllmsaihumans	emailphone	none
meetaembit.org ↗	66 match 2 shared topics	Aembit \| Agentic AI and Workload Identity & Access Management	en	information-and-network-security WordPress Lightspeed	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.