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Agent Control Plane | Enterprise Security for AI Agents and Non-Human Identities — 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
astrix.security ↗	74 match 2 shared topics	Identity Security for AI Agents & NHIs \| Astrix Security	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
agntpatrol.com ↗	72 match 2 shared topics	AgentPatrol · Runtime Security for AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
agenticsecurity.ai ↗	71 match 2 shared topics	Security for the Agentic Enterprise	en	artificial-intelligence Wix	robots llmsaihumans	emailphone	none
agentsecurityplatform.com ↗	71 match 2 shared topics	Agent Security Platform \| Zero-Trust for AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
agentsics.com ↗	71 match 2 shared topics	AGENTSICS - AI Agent Security Platform \| CyberWolf AI	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
cupnstring.com ↗	71 match 2 shared topics	Cup'n'String — AI Agent Security Control Plane for MCP, Local Runtimes & Developer Workstations	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8
agentactionfirewall.com ↗	71 match 2 shared topics	Agent Action Firewall - AI Agent Security Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aiagentwall.com ↗	71 match 2 shared topics	Agent Action Firewall - AI Agent Security Platform	en	information-and-network-security	robots llmsaihumans	emailphone	none
agentdna.com ↗	70 match 2 shared topics	AgentDNA \| Identity, Authorization & Provenance for AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
agentidp.dev ↗	70 match 2 shared topics	AgentIDP — The Identity Layer for AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
aiaramid.com ↗	70 match 2 shared topics	AI Aramid — Enterprise AI Security Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
thinkneo.ai ↗	70 match 2 shared topics	ThinkNEO Enterprise AI Control Plane - Runtime Enforcement, Compliance, AI FinOps	en	artificial-intelligence	robots llmsaihumans	emailphone	none
agentsecdb.com ↗	70 match 2 shared topics	AgentSecDB \| AI Agent Security Incident Database	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
agentdome.io ↗	70 match 2 shared topics	AgentDome — Enable AI agents in your enterprise, securely	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
agentarmor.dev ↗	70 match 2 shared topics	Agent Armor - AI Agent Security Framework	en	information-and-network-security	robots llmsaihumans	emailphone	none
adamdistefano.ai ↗	70 match 2 shared topics	Adam DiStefano — AI Governance Executive \| Runtime AI Control & Enterprise Security	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
gaitwai.io ↗	70 match 2 shared topics	Gaitwai — AI Security Gateway for the Enterprise	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
agentpki.dev ↗	70 match 2 shared topics	AgentPKI — cryptographic identity for AI agents on the public internet	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.