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Brinqa | AI-Powered Vulnerability & Exposure Management Platform — 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
starcsec.com ↗	74 match 2 shared topics	StarcSec \| Unified Exposure Management Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
cymptom.com ↗	73 match 2 shared topics	Vulnerability and exposure management \| Cloud and AI security \| Tenable®	en	artificial-intelligence Drupal	robotsllmsaihumans	emailphone	none
antrixis.com ↗	73 match 2 shared topics	Antrixis \| AI-Powered Vulnerability Scanner & Cybersecurity Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
visiblaze.com ↗	72 match 2 shared topics	Visiblaze - AI-Powered Cybersecurity Posture Management	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cycognito.cloud ↗	72 match 2 shared topics	Preemptive Exposure Management \| ASM Leader \| CyCognito	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
cyberriskposturemanagement.io ↗	72 match 2 shared topics	The #1 Cyber Risk Posture Management Platform \| UpGuard	Australia~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberriskposturemanagement.com ↗	72 match 2 shared topics	The #1 Cyber Risk Posture Management Platform \| UpGuard	Australia~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberriskposture.management ↗	72 match 2 shared topics	The #1 Cyber Risk Posture Management Platform \| UpGuard	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0run.org ↗	71 match 2 shared topics	runZero: Exposure Management for the AI-attack era	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0run.net ↗	71 match 2 shared topics	runZero: Exposure Management for the AI-attack era	en	information-and-network-security	robotsllmsaihumans	emailphone	none
fasooblog.com ↗	70 match 2 shared topics	Fasoo AI \| AI-Powered Enterprise Data Security Platform	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
helxon.com ↗	70 match 2 shared topics	AI-Powered SOC Platform	en	information-and-network-security	robots llmsaihumans	emailphone	none
cytix.io ↗	70 match 2 shared topics	Cytix - AI-Powered Security Testing Platform	United Kingdom~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
anycve.com ↗	69 match 2 shared topics	AnyCVE - Vulnerability Intelligence Platform	en	information-and-network-security	robots llmsaihumans	emailphone	none
cybershield.cafe ↗	69 match 2 shared topics	Sentient QuantumShield — AI-Powered Security Intelligence Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ctrlsec.io ↗	69 match 2 shared topics	CtrlSec — AI-Powered Cybersecurity Platform	India~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
omnicybersolutions.com ↗	69 match 2 shared topics	Omni Cyber Solutions \| AI-Powered Platforms for Governments, MSPs & Enterprises	United States~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
cyray.io ↗	69 match 2 shared topics	CyRay - AI-Powered SIEM/SOC Platform \| Mobula AI	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.