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Aembit | Agentic AI and Workload Identity & Access Management — 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
meetaembitteam.org ↗	100 match 2 shared topics	Aembit \| Agentic AI and Workload Identity & Access Management	en	information-and-network-security WordPress Lightspeed	robotsllmsaihumans	emailphone	none
meetaembit.org ↗	100 match 2 shared topics	Aembit \| Agentic AI and Workload Identity & Access Management	en	information-and-network-security WordPress Lightspeed	robotsllmsaihumans	emailphone	none
learnaembit.com ↗	100 match 2 shared topics	Aembit \| Agentic AI and Workload Identity & Access Management	en	information-and-network-security WordPress Lightspeed	robotsllmsaihumans	emailphone	none
myaembit.com ↗	100 match 2 shared topics	Aembit \| Agentic AI and Workload Identity & Access Management	en	information-and-network-security WordPress Lightspeed	robotsllmsaihumans	emailphone	none
mrnhi.org ↗	70 match 2 shared topics	Non-Human Identity Management Group	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
nhi-group.org ↗	70 match 2 shared topics	Non-Human Identity Management Group	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
nhi-mgmt-group.org ↗	70 match 2 shared topics	Non-Human Identity Management Group	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
nhiam.org ↗	70 match 2 shared topics	Non-Human Identity Management Group	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	partial · 8
nhi-advisory-group.com ↗	70 match 2 shared topics	Non-Human Identity Management Group	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
nhimg.org ↗	70 match 2 shared topics	Non-Human Identity Management Group	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
cellos.ai ↗	70 match 2 shared topics	CellosAI - The AI Access Management Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
identity.app ↗	69 match 2 shared topics	Trusted identity for AI agents \| identity.app	en	information-and-network-security	robotsllmsaihumans	emailphone	none
backslash.security ↗	69 match 2 shared topics	Backslash \| Agentic AI Endpoint Security Platform	en	information-and-network-security Webflow	robotsllmsaihumans	emailphone	none
layeredguard.com ↗	68 match 2 shared topics	LayeredGuard — Zero-trust credential management for AI agents	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
identthub.com ↗	68 match 2 shared topics	IdentHub — Agentic AI for Identity Governance & Compliance	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
sigmaidentity.com ↗	68 match 2 shared topics	Sigma Auth - Cryptographic Identity for AI Agents and Applications	en	information-and-network-security	robots llmsaihumans	emailphone	none
42crunch.com ↗	68 match 2 shared topics	Automate API Security across Agentic Workflows	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
nhi.digital ↗	68 match 2 shared topics	NHI.DIGITAL - Non-Human Identity for the Agentic Age	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.