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MCP security and evidence gateway for AI agents — 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
mcptrail.com ↗	75 match 2 shared topics	MCP firewall & security gateway for AI agents \| MCP Trail	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
astrix.security ↗	72 match 2 shared topics	Identity Security for AI Agents & NHIs \| Astrix Security	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
temperlabs.dev ↗	72 match 2 shared topics	Temper Labs — Security Testing for AI Agents and LLM Prompts	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mcpswitchboard.com ↗	72 match 2 shared topics	Switchboard by ZeroArc \| Governed MCP Gateway for AI Agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
aiagentsfounders.club ↗	72 match 2 shared topics	Astha AI \| Enterprise-Grade Security for AI Agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
4keyless.io ↗	72 match 2 shared topics	4Keyless — Secure AI Agent Gateway	en	information-and-network-security	robots llmsaihumans	emailphone	none
0eroshot.com ↗	71 match 2 shared topics	ZeroShot — Offensive Security Testing for AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
agent.security ↗	71 match 2 shared topics	Permit MCP Gateway \| Drop-in Trust for AI Agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
agentmint.run ↗	71 match 2 shared topics	AgentMint — Evidence layer for AI Agents in regulated industries	en	information-and-network-security	robots llmsaihumans	emailphone	none
manifold.security ↗	71 match 2 shared topics	Runtime Security for AI Agents on Endpoints \| Manifold	en	information-and-network-security	robotsllmsaihumans	emailphone	none
a16y.ai ↗	71 match 2 shared topics	AI Agents Endpoint Security	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
nanomind.dev ↗	71 match 2 shared topics	NanoMind: On-Device Security Classifier for AI Agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
neuraltrusts.com ↗	70 match 2 shared topics	NeuralTrust \| The Platform for AI and Agent Security	en	information-and-network-security Storyblok	robotsllmsaihumans	emailphone	none
neuraltrust.ai ↗	70 match 2 shared topics	NeuralTrust \| The Platform for AI and Agent Security	en	information-and-network-security Storyblok	robots llmsaihumans	emailphone	none
neural-trust.com ↗	70 match 2 shared topics	NeuralTrust \| The Platform for AI and Agent Security	en	information-and-network-security Storyblok	robots llmsaihumans	emailphone	none
neuraltrust.app ↗	70 match 2 shared topics	NeuralTrust \| The Platform for AI and Agent Security	en	information-and-network-security Storyblok	robots llmsaihumans	emailphone	none
aegisdefi.fun ↗	70 match 2 shared topics	Aegis Protocol — AI Agent Security for DeFi	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kenobitrust.com ↗	70 match 2 shared topics	KenobiTrust — The Agentic AI Security Gateway	United States~ 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.