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Tensorpath alternatives & similar sites

TensorPath | Secure Runtime for AI Agents — 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 Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
hellosilmaril.com ↗	71 match 2 shared topics	Silmaril \| Runtime Security for AI	en	information-and-network-security	robotsllmsaihumans	emailphone	none
capsulesecurity.io ↗	71 match 2 shared topics	Capsule Security \| AI Agent Runtime Security Platform	en	information-and-network-security	robots llmsaihumans	emailphone	none
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
node9.ai ↗	70 match 2 shared topics	Node9 \| The "Sudo" Command for AI Agents & CLIs	en	information-and-network-security	robotsllmsaihumans	emailphone	none
myfortunecookie.co.uk ↗	70 match 2 shared topics	ai.wot — Web of Trust for AI Agents	United Kingdom en	artificial-intelligence	robotsllmsaihumans	emailphone	none
0eroshot.com ↗	69 match 2 shared topics	ZeroShot — Offensive Security Testing for AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
cupnstring.com ↗	69 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
learnidentity.com ↗	69 match 2 shared topics	Secure AI Agent & User Authentication \| Auth0	United States~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
cloudnativeapplicationsecurity.com ↗	69 match 2 shared topics	Snyk AI Security Fabric \| Secure Code, Models & Agents \| Snyk	en	information-and-network-security	robotsllmsaihumans	emailphone	none
carapaces.dev ↗	68 match 2 shared topics	Carapace - AI Agent Security & Trust Layer	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
noctura.ai ↗	68 match 2 shared topics	Noctura - Secure AI Infrastructure	en	information-and-network-security Spree Commerce	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
apexaudit.sbs ↗	68 match 2 shared topics	APEX AUDIT \| The Gold Standard for AI Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cleverpixels.net ↗	68 match 2 shared topics	CogniWatch · AI Agent Security Observatory	en	information-and-network-security	robotsllmsaihumans	emailphone	none
helixagent.dev ↗	68 match 2 shared topics	Helix Agent — Production-grade secure AI agents. HIPAA-first.	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
aam.wtf ↗	68 match 2 shared topics	AAM - Safe AI Agents You Can Trust	en	information-and-network-security	robotsllmsaihumans	emailphone	none
vmeni.com ↗	67 match 2 shared topics	Vmeni \| Secure AI Infrastructure for Regulated Industries	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
efficientfrontierlabs.com ↗	67 match 2 shared topics	Efficient Frontier Labs \| Identity, Settlement, Accountability for AI Agents	United States~ en	artificial-intelligence	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.