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Pruuvn® – Vendor & AI Agent Trust Infrastructure | Pruuvn — 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
cryptonqr.com ↗	70 match 2 shared topics	CryptonQR — Trust Infrastructure for the AI Era	en	information-and-network-security Paddle	robotsllmsaihumans	emailphone	none
nectotech.com ↗	70 match 2 shared topics	Necto — Secure Infrastructure for AI Agents	Sweden~ en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
csspki.com ↗	69 match 2 shared topics	Trust Infrastructure for AI & Machines - Keyfactor	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
intlix.com ↗	69 match 2 shared topics	Intlix — Infrastructure • AI Agents • Security	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 10
astha.ai ↗	68 match 2 shared topics	Astha — Runtime Security & Compliance for AI Agent Infrastructure	en	information-and-network-security	robots llmsaihumans	emailphone	full · 15
protostars.ai ↗	68 match 2 shared topics	Protostars.ai — AI Trust Infrastructure for EU Cyber Resilience Act	en	information-and-network-security	robotsllmsaihumans	emailphone	none
downtime.dev ↗	67 match 2 shared topics	Teleport: Unified Identity Securing Classic & AI Infrastructure \| Teleport	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
astraea.ai ↗	66 match 2 shared topics	Astraea.AI — Intelligence Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
intentrax.com ↗	66 match 2 shared topics	Intentrax \| Infrastructure for Execution Assurance	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
neoticai.com ↗	66 match 2 shared topics	Neotic AI \| Sovereign AI Infrastructure & Zero Data Egress	en	artificial-intelligence	robots llmsaihumans	emailphone	partial · 8
audit-trail.net ↗	66 match 2 shared topics	Audit Trail - Compliance Infrastructure for Engineering Teams	en	information-and-network-security	robotsllmsaihumans	emailphone	none
vuneum.com ↗	65 match 2 shared topics	Vuneum — Trust and Payment Layer for AI Agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
livic.ai ↗	65 match 2 shared topics	Livic AI – Autonomous Trust & Security Layer for AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
nedservicesgroup.com ↗	65 match 2 shared topics	NED Services Group \| Cybersecurity, AI Governance & Digital Infrastructure Advisory	en	information-and-network-security	robotsllmsaihumans	emailphone	none
assureitech.com ↗	65 match 2 shared topics	Surveillance Infrastructure Assurance & Retail Counter Analytics Platform \| Assure-i	en	information-and-network-security	robotsllmsaihumans	emailphone	none
provatrust.com ↗	65 match 2 shared topics	Attestation as a Service for AI Agents \| Hardware-Backed Trust API \| Prova	en	information-and-network-security	robotsllmsaihumans	emailphone	none
attackmesh.io ↗	64 match 2 shared topics	AttackMesh — The autonomous pentest platform that lives on your infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
vortalis.ai ↗	64 match 2 shared topics	Vortalis \| The trust layer for AI agents in regulated industries	United Kingdom~ 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.