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Astelia AI-Native Exposure Management — 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
0run.org ↗	76 match 2 shared topics	runZero: Exposure Management for the AI-attack era	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0run.net ↗	76 match 2 shared topics	runZero: Exposure Management for the AI-attack era	en	information-and-network-security	robotsllmsaihumans	emailphone	none
nagomisecurity.com ↗	72 match 2 shared topics	AI Exposure Management Platform \| Nagomi Security	en	artificial-intelligence Webflow	robotsllmsaihumans	emailphone	none
brinqa.com ↗	72 match 2 shared topics	Brinqa \| AI-Powered Vulnerability & Exposure Management Platform	United States~ en	artificial-intelligence Sanity	robotsllmsaihumans	emailphone	none
alsid.io ↗	71 match 2 shared topics	Vulnerability and exposure management \| Cloud and AI security \| Tenable®	en	artificial-intelligence Drupal	robotsllmsaihumans	emailphone	none
iassetinventory.com ↗	71 match 2 shared topics	Vulnerability and exposure management \| Cloud and AI security \| Tenable®	en	artificial-intelligence Drupal	robotsllmsaihumans	emailphone	none
mypublicassets.com ↗	71 match 2 shared topics	Vulnerability and exposure management \| Cloud and AI security \| Tenable®	en	artificial-intelligence Drupal	robotsllmsaihumans	emailphone	none
1hackerone.com ↗	70 match 2 shared topics	HackerOne \| Leader in Continuous Threat Exposure Management \| Security for AI	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
7earehackerone.com ↗	70 match 2 shared topics	HackerOne \| Leader in Continuous Threat Exposure Management \| Security for AI	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
hzackerone.com ↗	70 match 2 shared topics	HackerOne \| Leader in Continuous Threat Exposure Management \| Security for AI	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
ctfa.io ↗	69 match 2 shared topics	CTFA - AI-Native Hacking Lab	en	information-and-network-security	robotsllmsaihumans	emailphone	none
breachrx.com ↗	69 match 2 shared topics	BreachRx \| Cyber Incident Response Management	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
tronlabs.ai ↗	68 match 2 shared topics	Protectron — AI-Native Digital Forensics	en	information-and-network-security	robotsllmsaihumans	emailphone	none
defense10x.com ↗	68 match 2 shared topics	AI-Native SOC & Managed Detection Response \| TENEX.AI	en	artificial-intelligence WordPress	robots llmsaihumans	emailphone	none
breachwater.com ↗	68 match 2 shared topics	BreachWater - AI-Native Breach Analysis	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
trustworks.io ↗	68 match 2 shared topics	Privacy Management & AI Governance Platform \| Collaborative & Future-Ready	Spain~ en	information-and-network-security	robots llmsaihumans	emailphone	none
iefyx.com ↗	68 match 2 shared topics	ieFyx \| AI-Driven Vulnerability Management & VAPT Platform for Enterprise Security Teams	India~ en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
alphaspike.io ↗	68 match 2 shared topics	AlphaSpike: AI-Native Autonomous SOC Platform	United States~ en	artificial-intelligence	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.