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Endor Labs | Agentic Application Security Platform — 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
connectendorlabs.com ↗	95 match 2 shared topics	Endor Labs \| AI-Native Application Security Platform	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
backslash.security ↗	74 match 2 shared topics	Backslash \| Agentic AI Endpoint Security Platform	en	information-and-network-security Webflow	robotsllmsaihumans	emailphone	none
contrastsecurity.com ↗	73 match 2 shared topics	Runtime Application Security for AI-Generated Code \| Contrast Security	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
kratosphereai.com ↗	73 match 2 shared topics	Agentic AI Cybersecurity Platform \| KratosphereAI	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xhunter.io ↗	72 match 2 shared topics	0xHunter - Continous Security Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
krathes.com ↗	72 match 2 shared topics	Krathes \| Agentic AI Security Tool & Watchdog	en	information-and-network-security	robotsllmsaihumans	emailphone	none
pointguardai.com ↗	72 match 2 shared topics	AI Application Security & Governance - PointGuard AI	en	information-and-network-security	robotsllmsaihumans	emailphone	none
meetcoramai.org ↗	71 match 2 shared topics	Coram: Unified Physical Security Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
42crunch.com ↗	70 match 2 shared topics	Automate API Security across Agentic Workflows	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
krak-ai.com ↗	70 match 2 shared topics	KRAK AI - LLM Security Testing Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
ctrlsec.io ↗	70 match 2 shared topics	CtrlSec — AI-Powered Cybersecurity Platform	India~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
paig.ai ↗	70 match 2 shared topics	AI Agent Security & Data Governance Platform \| Trust3 AI	en	artificial-intelligence WordPress	robots llmsaihumans	emailphone	none
contraforce.com ↗	70 match 2 shared topics	ContraForce - Agentic Security Delivery for MSPs	en	information-and-network-security	robots llmsaihumans	emailphone	none
bayesiananalytics.com ↗	69 match 2 shared topics	Bayesian Analytics - best LLM powered cyber security platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
siberninja.com ↗	69 match 2 shared topics	Siber Ninja \| Offensive Security Platform & Cybersecurity Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 2
outthinking.net ↗	69 match 2 shared topics	OutThink \| Cybersecurity Human Risk Management Platform	en	artificial-intelligence Sanity	robotsllmsaihumans	emailphone	none
outthinkthreats.com ↗	69 match 2 shared topics	OutThink \| Cybersecurity Human Risk Management Platform	en	artificial-intelligence Sanity	robotsllmsaihumans	emailphone	none
outthnk.com ↗	69 match 2 shared topics	OutThink \| Cybersecurity Human Risk Management Platform	en	artificial-intelligence Sanity	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.