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Mend.io | Application Security and AI Security, Unified — 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
leecognitek.com ↗	73 match 2 shared topics	LeeCognitek \| AI-Based Security Scanning, Application Security Scanning, BYOLLM	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
tryendorlabsnow.com ↗	73 match 2 shared topics	Endor Labs \| AI-Native Application Security Platform	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
tryendor.com ↗	73 match 2 shared topics	Endor Labs \| AI-Native Application Security Platform	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
tryendorlabs.ai ↗	73 match 2 shared topics	Endor Labs \| AI-Native Application Security Platform	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
tryendorlabs.com ↗	73 match 2 shared topics	Endor Labs \| AI-Native Application Security Platform	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
previewendor.com ↗	73 match 2 shared topics	Endor Labs \| AI-Native Application Security Platform	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
mypangeaai.com ↗	72 match 2 shared topics	Pangea \| Security Guardrails for AI Applications	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
aabvin.com ↗	72 match 2 shared topics	Global Cybersecurity, Cloud & AI Security \| Aabvin Solutions	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybret.ai ↗	71 match 2 shared topics	CYBRET AI — From static to semantic application security	en	artificial-intelligence	robots llmsaihumans	emailphone	partial · 8
try-saltsecurity.com ↗	71 match 2 shared topics	Salt Security: Agentic AI Security, MCP Discovery, and API Security	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
2thrivellc.com ↗	70 match 2 shared topics	Cyber Security and AI Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
primesec.ai ↗	70 match 2 shared topics	Prime Security \| Agentic Product Security	en	information-and-network-security Webflow	robotsllmsaihumans	emailphone	none
trycloversecurity.com ↗	70 match 2 shared topics	Design-Led Product Security \| Clover Security	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
cyproglobal.net ↗	70 match 2 shared topics	CyproGlobal — Cybersecurity & AI Security Consulting	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
cedrusstrategic.com ↗	70 match 2 shared topics	Cedrus Strategic - Cybersecurity Consulting & AI Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
forcesector.com ↗	70 match 2 shared topics	ForceSector \| AI Security Automaton	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
trycascoai.com ↗	70 match 2 shared topics	Autonomous Security Testing for Modern Applications \| Casco	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
siriusenterprises.io ↗	70 match 2 shared topics	Sirius Enterprises Limited \| Cybersecurity, AI Security & Compliance	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.