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hCaptcha - Stop bots and human abuse. — 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
cantina.xyz ↗	65 match 2 shared topics	Cantina \| AI-Native Security, Backed by Human Expertise	en	information-and-network-security	robots llmsaihumans	emailphone	none
oauth.do ↗	65 match 2 shared topics	id.org.ai - Simple, Secure Sign-In for Humans and AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
phrontiq.com ↗	64 match 2 shared topics	PHRONTIQ — Human Risk Intelligence Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
astvlive.com ↗	64 match 2 shared topics	Dark Asura - AI Security & Penetration Testing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
questshield.app ↗	64 match 2 shared topics	QuestShield — Stop Losing Deals to Security Questionnaires	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
humanrootoftrust.org ↗	64 match 2 shared topics	The Human Root of Trust	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cybsafe.co.uk ↗	64 match 2 shared topics	CybSafe – AI-powered human risk management – Improve security behaviors with data to prove it.	United Kingdom en	information-and-network-security Shopify	robotsllmsaihumans	emailphone	none
askluma.io ↗	64 match 2 shared topics	LUMA \| Enterprise AI You Can Actually Trust	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
phishack.com ↗	64 match 2 shared topics	Phishack - Reduce Human-based Cyber Risks with Phishack	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ntr-kenya.org ↗	64 match 2 shared topics	NorthernTribe Research \| Enterprise AI, Cybersecurity, Research, And Product Platforms	en	artificial-intelligence	robots llmsaihumans	emailphone	none
omvia.net ↗	64 match 2 shared topics	OMVIA - AI-Powered Cybersecurity Training Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
kdgenai.com ↗	64 match 2 shared topics	Terraservers Services — AI Strategy, Governance, Advisory and Cybersecurity	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
ob2.ai ↗	63 match 2 shared topics	Agentic AI for Cybersecurity Operations \| Opsbeacon	en	information-and-network-security	robotsllmsaihumans	emailphone	none
exabeam.co.uk ↗	63 match 2 shared topics	Exabeam \| Cybersecurity & Compliance with Security Log Management and SIEM	United Kingdom en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
guardway.ai ↗	63 match 2 shared topics	Guardway.ai - Secure & Manage Your Ai Ecosystem	en	information-and-network-security	robotsllmsaihumans	emailphone	none
a1base.com ↗	63 match 2 shared topics	A1Base \| The API to give AI Agents a phone number, an email and a trusted identity	United States~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
mine-privacy.com ↗	63 match 2 shared topics	Mine \| Autonomous AI Governance, Privacy & Risk Management	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
1pw.ai ↗	63 match 2 shared topics	1PW.AI \| Enterprise Password Security & Bitcoin Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8

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.