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Agile Remediation Platform for Code Security | Glev — 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
ridgesecurityemail.com ↗	74 match 2 shared topics	Offensive Security & Security Validation Platform for CTEM	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
ridgesecurity.ai ↗	74 match 2 shared topics	Offensive Security & Security Validation Platform for CTEM	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
startwithendor.com ↗	72 match 2 shared topics	Endor Labs \| Agentic Application Security Platform	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
endorconnects.com ↗	72 match 2 shared topics	Endor Labs \| Agentic Application Security Platform	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
endorlabs.org ↗	72 match 2 shared topics	Endor Labs \| Agentic Application Security Platform	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
beginwithendor.com ↗	72 match 2 shared topics	Endor Labs \| AI-Native Application Security Platform	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
demoendor.com ↗	72 match 2 shared topics	Endor Labs \| AI-Native Application Security Platform	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
gettingendorlabs.com ↗	72 match 2 shared topics	Endor Labs \| AI-Native Application Security Platform	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
testendor.com ↗	72 match 2 shared topics	Endor Labs \| AI-Native Application Security Platform	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
text-guard.com ↗	72 match 2 shared topics	Artemis Security \| AI-Native Protection Platform for Modern SecOps	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
amplifiersecurity.click ↗	72 match 2 shared topics	Amplifier Security \| Workforce Security Platform	en	artificial-intelligence	robots llmsaihumans	emailphone	partial · 8
mymagenai.com ↗	72 match 2 shared topics	MagenAI - The Platform for AI Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
getserversage.org ↗	71 match 2 shared topics	Serversage - GPT-Powered Offensive Security Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
tenetsecurity.ai ↗	71 match 2 shared topics	The Security Platform for the Agentic Layer	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
reveal-team.com ↗	71 match 2 shared topics	Reveal Security \| The Insider Threat Platform for the AI Era	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
giskardai.com ↗	71 match 2 shared topics	AI Red Teaming & LLM Security Platform \| Giskard	en	artificial-intelligence HubSpot CMS	robotsllmsaihumans	emailphone	none
berenta.com ↗	70 match 2 shared topics	The Secure AI Agent Platform for Enterprise	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kikimora.io ↗	70 match 2 shared topics	Kikimora Agent: Conversational AI Security Platform for Your Whole Stack	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.