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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
adcl.io ↗	71 match 2 shared topics	ADCL — Autonomous Offensive Security	en	artificial-intelligence	robots llmsaihumans	emailphone	partial · 8
adclhq.com ↗	71 match 2 shared topics	ADCL — Autonomous Offensive Security	en	artificial-intelligence	robots llmsaihumans	emailphone	partial · 8
adcl-direct.com ↗	71 match 2 shared topics	ADCL — Autonomous Offensive Security	en	artificial-intelligence	robots llmsaihumans	emailphone	partial · 8
strix-sec.com ↗	71 match 2 shared topics	Strix - Autonomous Security for the AI Era	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
strix-dev.com ↗	71 match 2 shared topics	Strix - Autonomous Security for the AI Era	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
mindfort.ai ↗	71 match 2 shared topics	MindFort \| Autonomous Security Agents	en	artificial-intelligence	robots llmsaihumans	emailphone	none
fuzzsea.com ↗	70 match 2 shared topics	Fuzzsea — AI-Powered Smart Contract Auditor \| Autonomous Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
banabolabs.com ↗	70 match 2 shared topics	Banabo Labs — Autonomous Pen Testing for the Modern Stack	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
enorekcah-user-content.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
cktivity.net ↗	69 match 2 shared topics	HackerOne \| Leader in Continuous Threat Exposure Management \| Security for AI	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
cktivity.org ↗	69 match 2 shared topics	HackerOne \| Leader in Continuous Threat Exposure Management \| Security for AI	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
cktivitycon.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
cktivitycon.net ↗	69 match 2 shared topics	HackerOne \| Leader in Continuous Threat Exposure Management \| Security for AI	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
cktivitycon.org ↗	69 match 2 shared topics	HackerOne \| Leader in Continuous Threat Exposure Management \| Security for AI	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
7earehackerone.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
agentstroy.com ↗	69 match 2 shared topics	Agentstroy — Autonomous Offensive Security Agents \| Autonomous Penetration Testing	en	information-and-network-security	robots llmsaihumans	emailphone	full · 14
hellokeygraph.com ↗	69 match 2 shared topics	Keygraph \| Continuous Agentic Pentesting for the Enterprise	en	information-and-network-security	robots llmsaihumans	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.