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Snyk AI Security Fabric | Secure Code, Models & Agents | Snyk — 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
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
salt-securityteam.com ↗	69 match 2 shared topics	Salt Security: Agentic AI Security, MCP Discovery, and API Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
salt-securitydirect.com ↗	69 match 2 shared topics	Salt Security: Agentic AI Security, MCP Discovery, and API Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
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
saltsecurity.io ↗	69 match 2 shared topics	Salt Security: Agentic AI Security, MCP Discovery, and API Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
usetrustgate.com ↗	69 match 2 shared topics	Self-Hosted AI Security Gateway for Agents \| TrustGate AI	en	information-and-network-security	robots llmsaihumans	emailphone	none
a16y.ai ↗	69 match 2 shared topics	AI Agents Endpoint Security	US~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
lumeyon.com ↗	69 match 2 shared topics	Lumeyon — AI Agent Security Scanner	en	information-and-network-security	robotsllmsaihumans	emailphone	none
lumeus.ai ↗	69 match 2 shared topics	AI-Native Security for Agents & Devs	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
averta.io ↗	68 match 2 shared topics	Agentic AI Security: The AI Agent Operating System \| Averta	en	information-and-network-security	robots llmsaihumans	emailphone	none
cybpass.com ↗	68 match 2 shared topics	CybPass \| AI Security	en	information-and-network-security Wix	robots llmsaihumans	emailphone	none
cybersymbioticsecurity.org ↗	68 match 2 shared topics	Symbiotic Security - End to End security for AI coding	US~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
acecyberconsult.com ↗	68 match 2 shared topics	Acelogic Cyber Consulting LLC \| Security Reviews, Reverse Engineering & AI Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
swimlane.ai ↗	68 match 2 shared topics	Swimlane: Agentic AI Security Automation, Hyperautomation, SOC Automation	US~ en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
swimlane.com ↗	68 match 2 shared topics	Swimlane: Agentic AI Security Automation, Hyperautomation, SOC Automation	US~ en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
dreadnode.biz ↗	68 match 2 shared topics	Dreadnode — AI Infrastructure for Security Agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
depsshield.com ↗	68 match 2 shared topics	DepsShield - Security Intelligence for AI Coding Agents	en	information-and-network-security Spree Commerce	robots llmsaihumans	emailphone	none
lucired.com ↗	68 match 2 shared topics	Luci \| Advanced AI Agent 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.