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Ethiack — Autonomous Ethical Hacking for continuous 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
etihack.com ↗	100 match 2 shared topics	Ethiack — Autonomous Ethical Hacking for continuous security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ethiack.com ↗	100 match 2 shared topics	Ethiack — Autonomous Ethical Hacking for continuous security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ethiack.io ↗	100 match 2 shared topics	Ethiack — Autonomous Ethical Hacking for continuous security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ethiak.com ↗	100 match 2 shared topics	Ethiack — Autonomous Ethical Hacking for continuous security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mcptotal.io ↗	72 match 2 shared topics	Autonomous Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
lampsec.dev ↗	70 match 2 shared topics	LAMPSEC — Autonomous AI Security Research	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hacker101.co ↗	69 match 2 shared topics	HackerOne \| Leader in Continuous Threat Exposure Management \| Security for AI	Colombia en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
1hackerone.com ↗	69 match 2 shared topics	HackerOne \| Leader in Continuous Threat Exposure Management \| Security for AI	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
kotavlabs.com ↗	69 match 2 shared topics	Kotav Labs — Autonomous pentest & compliance	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xclaw.dev ↗	68 match 2 shared topics	Local AI pentesting for security teams	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 7
ethifyai.com ↗	68 match 2 shared topics	ethifyAI - Ethical AI for Online Security	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
0xhunter.io ↗	68 match 2 shared topics	0xHunter - Continous Security Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hex.co ↗	67 match 2 shared topics	Hex Security \| AI-Powered Autonomous Penetration Testing	Colombia en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
0eroshot.com ↗	67 match 2 shared topics	ZeroShot — Offensive Security Testing for AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
ai-security-consultant.ch ↗	67 match 2 shared topics	AI Security Consultant — Automated Cybersecurity for SMEs	Switzerland en	artificial-intelligence	robotsllmsaihumans	emailphone	none
aicubed.co.uk ↗	67 match 2 shared topics	AICUBED — Autonomous Multi-Agent Forensic Intelligence	United Kingdom en	artificial-intelligence	robotsllmsaihumans	emailphone	none
contentseal.com ↗	67 match 2 shared topics	ContentSeal \| Trust and Security for Content in the age of AI	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
siemba.io ↗	66 match 2 shared topics	Advanced CTEM Solutions for Proactive Security \| Siemba	en	information-and-network-security HubSpot	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.