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Artemis Security | AI-Native Protection Platform for Modern SecOps — 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
demoendor.com ↗	74 match 2 shared topics	Endor Labs \| AI-Native Application Security Platform	US~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
joinendortrial.com ↗	74 match 2 shared topics	Endor Labs \| AI-Native Application Security Platform	US~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
joinendorlabs.com ↗	74 match 2 shared topics	Endor Labs \| AI-Native Application Security Platform	US~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
joinendor.com ↗	74 match 2 shared topics	Endor Labs \| AI-Native Application Security Platform	US~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
usevenom.app ↗	70 match 2 shared topics	Venom — Content Protection Platform \| Venom	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
navien.ai ↗	70 match 2 shared topics	Navien — AI-native cybersecurity for fintech	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
awarecorp.io ↗	69 match 2 shared topics	Pinta AI \| AI Agent & MCP Security Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
lumeus.ai ↗	69 match 2 shared topics	AI-Native Security for Agents & Devs	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
usecascoai.com ↗	69 match 2 shared topics	Autonomous Security Testing for Modern Applications \| Casco	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
casco.com ↗	69 match 2 shared topics	Autonomous Security Testing for Modern Applications \| Casco	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
cascohq.com ↗	69 match 2 shared topics	Autonomous Security Testing for Modern Applications \| Casco	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
urosecure.com ↗	69 match 2 shared topics	AI Entry Security Platform for Schools & Enterprises \| UROSECURE	en	artificial-intelligence	robotsllmsaihumans	email phone	none
updatescoram.com ↗	69 match 2 shared topics	Coram: Unified Physical Security Platform	en	information-and-network-security	robots llmsaihumans	emailphone	none
demonightfall.com ↗	69 match 2 shared topics	Nightfall: AI Data Security & Data Loss Prevention Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
demonightfalldlp.com ↗	69 match 2 shared topics	Nightfall: AI Data Security & Data Loss Prevention Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
discovernightfalldlp.com ↗	69 match 2 shared topics	Nightfall: AI Data Security & Data Loss Prevention Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
discovernightfallai.com ↗	69 match 2 shared topics	Nightfall: AI Data Security & Data Loss Prevention Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
discovernightfall.com ↗	69 match 2 shared topics	Nightfall: AI Data Security & Data Loss Prevention Platform	en	information-and-network-security	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.