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Autonomous Security Testing for Modern Applications | Casco — 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
mcptotal.io ↗	74 match 2 shared topics	Autonomous Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
flarewke.com ↗	73 match 2 shared topics	Flarewke \| Autonomous Security Operations Center	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
cyntrolx.com ↗	72 match 2 shared topics	CyntrolX — Autonomous Penetration Testing	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
0xclaw.dev ↗	72 match 2 shared topics	Local AI pentesting for security teams	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 7
preseal.dev ↗	72 match 2 shared topics	preseal — Security testing for AI agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
trialethiack.com ↗	71 match 2 shared topics	Ethiack — Autonomous Ethical Hacking for continuous security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
tryethiack.com ↗	71 match 2 shared topics	Ethiack — Autonomous Ethical Hacking for continuous security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mypangeaai.com ↗	71 match 2 shared topics	Pangea \| Security Guardrails for AI Applications	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
prodexity.com ↗	70 match 2 shared topics	Prodexity \| Cybersecurity Consulting & Penetration Testing for EU Businesses	Hungary~ en	information-and-network-security	robotsllmsaihumans	email phone	none
tryendor.com ↗	70 match 2 shared topics	Endor Labs \| AI-Native Application Security Platform	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
tryendorlabs.ai ↗	70 match 2 shared topics	Endor Labs \| AI-Native Application Security Platform	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
tryendorlabs.com ↗	70 match 2 shared topics	Endor Labs \| AI-Native Application Security Platform	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
tryendorlabsnow.com ↗	70 match 2 shared topics	Endor Labs \| AI-Native Application Security Platform	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
deepkeep.ai ↗	70 match 2 shared topics	DeepKeep AI Security Platform for Applications, Agents and Models	en	information-and-network-security	robots llmsaihumans	emailphone	none
demoendor.com ↗	70 match 2 shared topics	Endor Labs \| AI-Native Application Security Platform	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
preemptics.com ↗	70 match 2 shared topics	Preemptics \| AI Security Testing & Red Teaming Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
previewendor.com ↗	70 match 2 shared topics	Endor Labs \| AI-Native Application Security Platform	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
bugtraceai.com ↗	70 match 2 shared topics	BugTraceAI \| Agentic Security Testing Platform	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.