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Layeredguard alternatives & similar sites

LayeredGuard — Zero-trust credential management 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
identity.app ↗	69 match 2 shared topics	Trusted identity for AI agents \| identity.app	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mcpfortress.com ↗	69 match 2 shared topics	Kestra Labs - AI Governance & Credential Management	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sigmodx.com ↗	69 match 2 shared topics	Sigmodx — Audit Infrastructure for AI Agents	en	information-and-network-security MODX	robots llms aihumans	emailphone	none
centter.ai ↗	69 match 2 shared topics	Centter — Identity, Permissions & Skills for AI Agent Networks	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
signacloud.io ↗	69 match 2 shared topics	DatOps — The Trust Layer for the Agentic Economy	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
4tress.org ↗	69 match 2 shared topics	4tress.org — Decentralized Identity for AI Agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
sigmashake.com ↗	69 match 2 shared topics	SigmaShake — AI Agent Guardrails	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8
preseal.dev ↗	69 match 2 shared topics	preseal — Security testing for AI agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
meetaembitteam.org ↗	68 match 2 shared topics	Aembit \| Agentic AI and Workload Identity & Access Management	en	information-and-network-security WordPress Lightspeed	robotsllmsaihumans	emailphone	none
meetaembit.org ↗	68 match 2 shared topics	Aembit \| Agentic AI and Workload Identity & Access Management	en	information-and-network-security WordPress Lightspeed	robotsllmsaihumans	emailphone	none
learnaembit.com ↗	68 match 2 shared topics	Aembit \| Agentic AI and Workload Identity & Access Management	en	information-and-network-security WordPress Lightspeed	robotsllmsaihumans	emailphone	none
learnaboutaembit.com ↗	68 match 2 shared topics	Aembit \| Agentic AI and Workload Identity & Access Management	en	information-and-network-security WordPress Lightspeed	robotsllmsaihumans	emailphone	none
myaembit.com ↗	68 match 2 shared topics	Aembit \| Agentic AI and Workload Identity & Access Management	en	information-and-network-security WordPress Lightspeed	robotsllmsaihumans	emailphone	none
1id.com ↗	68 match 2 shared topics	1id.com — Hardware-Backed Identity for AI Agents & Relying Parties	en	information-and-network-security	robots llmsaihumans	emailphone	none
alterai.dev ↗	68 match 2 shared topics	Alter Vault \| The Authorization Layer for AI Agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
alterauth.dev ↗	68 match 2 shared topics	Alter Vault \| The Authorization Layer for AI Agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
alterauth.ai ↗	68 match 2 shared topics	Alter Vault \| The Authorization Layer for AI Agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
alterauth.com ↗	68 match 2 shared topics	Alter Vault \| The Authorization Layer for AI Agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8

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.