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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
helloaembit.org ↗	100 match 2 shared topics	Aembit \| Agentic AI and Workload Identity & Access Management	en	information-and-network-security WordPress Lightspeed	robotsllmsaihumans	emailphone	none
aembithq.org ↗	100 match 2 shared topics	Aembit \| Agentic AI and Workload Identity & Access Management	en	information-and-network-security WordPress Lightspeed	robotsllmsaihumans	emailphone	none
agentic-access.ai ↗	79 match 2 shared topics	Agentic Access Management \| AI Identity & Access Security	en	information-and-network-security	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
agentidentityregistry.org ↗	69 match 2 shared topics	AIR — Open Identity & Trust Framework for AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
agentidentityregistry.com ↗	69 match 2 shared topics	AIR — Open Identity & Trust Framework for AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
agenticcontrolplane.ai ↗	68 match 2 shared topics	Cyata \| The Control Plane for Agentic Identity	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
agentspassports.com ↗	68 match 2 shared topics	AgentPassport — Identity for AI Agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
identthub.com ↗	68 match 2 shared topics	IdentHub — Agentic AI for Identity Governance & Compliance	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
agentids.org ↗	68 match 2 shared topics	Agent Identity (AID) - Authentication & Authorization for AI Agents \| Open Source	en	artificial-intelligence	robots llmsaihumans	emailphone	none
rosette.com ↗	68 match 2 shared topics	Agentic AI for Threat, Identity, and Vendor Risk \| Babel Street	en	information-and-network-security Sanity	robots llmsaihumans	emailphone	none
agentlookup.ai ↗	68 match 2 shared topics	AgentLookup — The Identity Layer for AI Agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
charmsecurity.com ↗	68 match 2 shared topics	Charm Security \| Agentic AI Workforce for Fraud & Cybercrime	en	information-and-network-security HubSpot CMS	robotsllmsaihumans	emailphone	none
straiker.ai ↗	68 match 2 shared topics	Straiker \| The Agentic AI Security Company	US~ en	information-and-network-security	robots llmsaihumans	emailphone	none
hid-tektronix.com ↗	67 match 2 shared topics	HID Tektronix \| Smart Visitor Management & HID Access Control Systems in GCC	AE~ en	artificial-intelligence WordPress	robotsllmsaihumans	email phone	none
4tress.org ↗	67 match 2 shared topics	4tress.org — Decentralized Identity for AI Agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
agentid.info ↗	67 match 2 shared topics	AgentID - Verified AI Agent Identities	en	information-and-network-security	robotsllmsaihumans	emailphone	none
try-saltsecurity.com ↗	67 match 2 shared topics	Salt Security: Agentic AI Security, MCP Discovery, and API Security	US~ 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.