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DefendAI — The control plane for agentic AI security — 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
avaly.ai ↗	76 match 2 shared topics	Avaly.ai — AI Security Control Plane	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
sanctumai.dev ↗	75 match 2 shared topics	SanctumAI — The identity control plane for autonomous AI agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
averta.io ↗	71 match 2 shared topics	Agentic AI Security: The AI Agent Operating System \| Averta	en	information-and-network-security	robots llmsaihumans	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
sanwi.ai ↗	71 match 2 shared topics	Sanwi — The Knowledge and Security Layer for the Agentic Era	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
useagentguard.com ↗	70 match 2 shared topics	AgentGuard — Security & Cost Control Layer for AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
usesansar.com ↗	70 match 2 shared topics	SANSAR \| Governance for Agentic AI	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
sansarai.ai ↗	70 match 2 shared topics	SANSAR \| Governance for Agentic AI	en	artificial-intelligence	robots llmsaihumans	emailphone	none
usetrustgate.com ↗	70 match 2 shared topics	Self-Hosted AI Security Gateway for Agents \| TrustGate AI	en	information-and-network-security	robots llmsaihumans	emailphone	none
cyber.airforce ↗	70 match 2 shared topics	SecurityPilot — Agentic GRC Intelligence	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	partial · 8
0eroshot.com ↗	69 match 2 shared topics	ZeroShot — Offensive Security Testing for AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
jnjiuxun.com ↗	69 match 2 shared topics	Wallarm \| AI Control Platform — Secure Every AI Workload	US~ en	artificial-intelligence Webflow	robotsllmsaihumans	emailphone	none
useskypher.com ↗	69 match 2 shared topics	Skypher \| Agentic AI for Security Portals & Questionnaires	US~ en	information-and-network-security	robotsllmsaihumans	email phone	none
use-saltsecurity.com ↗	69 match 2 shared topics	Salt Security: Agentic AI Security, MCP Discovery, and API Security	US~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
usequantrosecurity.com ↗	69 match 2 shared topics	AI Agents for Cyber Defense \| Quantro Security	US~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
usequantrovmagent.com ↗	69 match 2 shared topics	AI Agents for Cyber Defense \| Quantro Security	US~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
lupid.ai ↗	69 match 2 shared topics	Lupid — The open-source ecosystem for securing AI agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
salt-securityhq.com ↗	69 match 2 shared topics	Salt Security: Agentic AI Security, MCP Discovery, and API Security	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.