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Multifactor acquires Keypo to accelerate zero-trust security for AI agents | Multifactor Blog — 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 Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
manifold.security ↗	69 match 2 shared topics	Runtime Security for AI Agents on Endpoints \| Manifold	en	information-and-network-security	robotsllmsaihumans	emailphone	none
envpod.dev ↗	68 match 2 shared topics	envpod - Zero-trust governance for AI agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
mcptrail.com ↗	68 match 2 shared topics	MCP firewall & security gateway for AI agents \| MCP Trail	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
astrix.security ↗	68 match 2 shared topics	Identity Security for AI Agents & NHIs \| Astrix Security	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
aiagentsfounders.club ↗	67 match 2 shared topics	Astha AI \| Enterprise-Grade Security for AI Agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
aegisdefi.fun ↗	67 match 2 shared topics	Aegis Protocol — AI Agent Security for DeFi	en	information-and-network-security	robotsllmsaihumans	emailphone	none
goodciso.org ↗	67 match 2 shared topics	Good CISO — AWARE: Open-Source Security for Autonomous AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 5
neuraltrusts.com ↗	67 match 2 shared topics	NeuralTrust \| The Platform for AI and Agent Security	en	information-and-network-security Storyblok	robotsllmsaihumans	emailphone	none
neural-trust.com ↗	67 match 2 shared topics	NeuralTrust \| The Platform for AI and Agent Security	en	information-and-network-security Storyblok	robots llmsaihumans	emailphone	none
neuraltrust.ai ↗	67 match 2 shared topics	NeuralTrust \| The Platform for AI and Agent Security	en	information-and-network-security Storyblok	robots llmsaihumans	emailphone	none
neuraltrust.app ↗	67 match 2 shared topics	NeuralTrust \| The Platform for AI and Agent Security	en	information-and-network-security Storyblok	robots llmsaihumans	emailphone	none
generalanalysis.ai ↗	67 match 2 shared topics	General Analysis \| Security for Agentic AI	en	information-and-network-security	robots llmsaihumans	emailphone	none
0eroshot.com ↗	67 match 2 shared topics	ZeroShot — Offensive Security Testing for AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
glacieraipartners.com ↗	67 match 2 shared topics	Secure AI Adoption & Zero Trust Security \| Glacier AI Partners	United States~ en	information-and-network-security	robotsllmsaihumans	email phone	none
aiwot.org ↗	67 match 2 shared topics	ai.wot — Web of Trust for AI Agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
entropy0.ai ↗	66 match 2 shared topics	Entropy0 — Source Trust for AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
a16y.ai ↗	66 match 2 shared topics	AI Agents Endpoint Security	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
temperlabs.dev ↗	66 match 2 shared topics	Temper Labs — Security Testing for AI Agents and LLM Prompts	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.