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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
astrix.security ↗	70 match 2 shared topics	Identity Security for AI Agents & NHIs \| Astrix Security	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
etxcyberagentic.com ↗	70 match 2 shared topics	ETX CyberOps \| AI Agents for Security Firms	en	information-and-network-security	robotsllmsaihumans	emailphone	none
etxcyberagent.com ↗	70 match 2 shared topics	ETX CyberOps \| AI Agents for Security Firms	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
krathes.com ↗	69 match 2 shared topics	Krathes \| Agentic AI Security Tool & Watchdog	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kuboxx.com ↗	69 match 2 shared topics	Kuboxx Security Platform – AI Infrastructure Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kuboxx.ai ↗	69 match 2 shared topics	Kuboxx Security Platform – AI Infrastructure Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mortgagesecure.com ↗	69 match 2 shared topics	mort+gage secure \| Personal Security in the AI Age	en	information-and-network-security	robotsllmsaihumans	emailphone	none
connect-saltsecurity.com ↗	69 match 2 shared topics	Salt Security: Agentic AI Security, MCP Discovery, and API Security	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
connectsalt-security.com ↗	69 match 2 shared topics	Salt Security: Agentic AI Security, MCP Discovery, and API Security	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
connectsaltsecurity.com ↗	69 match 2 shared topics	Salt Security: Agentic AI Security, MCP Discovery, and API Security	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
kryptomindz.com ↗	68 match 2 shared topics	AI Agents & Blockchain Security \| KryptoMindz Technologies	en	information-and-network-security	robotsllmsaihumans	emailphone	none
launchprompthalo.com ↗	68 match 2 shared topics	PromptHalo — Real-time AI Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
heyprompthalo.com ↗	68 match 2 shared topics	PromptHalo — Real-time AI Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
polidata.ai ↗	68 match 2 shared topics	Polidata Secure AI & Cyber Security Services for SMEs	en	artificial-intelligence	robots llmsaihumans	emailphone	none
eva-ai.io ↗	68 match 2 shared topics	EVA \| Advanced AI Security for Web3	en	information-and-network-security	robotsllmsaihumans	emailphone	none
eugenetawiah.com ↗	68 match 2 shared topics	Eugene Tawiah \| Cybersecurity Executive, Advisor & AI Security Leader	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
polaris-n.com ↗	68 match 2 shared topics	Polaris-N \| Security & AI Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
mcptrail.com ↗	68 match 2 shared topics	MCP firewall & security gateway for AI agents \| MCP Trail	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8

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.