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Vynox Security | AI Security Testing Platform — 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
vorota.ai ↗	75 match 2 shared topics	Vorota AI \| Security Testing at Machine Speed	en	information-and-network-security	robots llmsaihumans	emailphone	none
voxtech.io ↗	73 match 2 shared topics	VOX - Voice AI Security Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
intertrace.ai ↗	72 match 2 shared topics	Intertrace — Runtime AI Security Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
llmdatasecurity.com ↗	72 match 2 shared topics	Redactive \| Enterprise AI Security Platform	en	information-and-network-security Storyblok	robotsllmsaihumans	emailphone	none
astvlive.com ↗	72 match 2 shared topics	Dark Asura - AI Security & Penetration Testing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
astrix.security ↗	72 match 2 shared topics	Identity Security for AI Agents & NHIs \| Astrix Security	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
austincomstock.ai ↗	72 match 2 shared topics	Independent Security Consultant \| API · Cloud · AI Security \| Austin Comstock	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
0xclaw.dev ↗	71 match 2 shared topics	Local AI pentesting for security teams	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 7
llmguardpro.com ↗	71 match 2 shared topics	LLMGuard Pro — Enterprise AI Security Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
protegrity.ai ↗	71 match 2 shared topics	Protegrity \| AI Security and Data Protection for Enterprises	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	partial · 8
protegrity.com ↗	71 match 2 shared topics	Protegrity \| AI Security and Data Protection for Enterprises	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
360sec.com ↗	71 match 2 shared topics	AI-Powered Cybersecurity Services — MDR, Red Teaming & AI Security Testing \| 360 Security Group	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
escape.tech ↗	71 match 2 shared topics	Escape: AI-Powered Offensive Security Platform	en	information-and-network-security Webflow	robotsllmsaihumans	emailphone	none
protegritydata.com ↗	71 match 2 shared topics	AI Data Security Platform for Secure Enterprise AI \| Protegrity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
llmrecon.com ↗	70 match 2 shared topics	LLMrecon - Advanced LLM Security Testing Framework	en	information-and-network-security	robotsllmsaihumans	emailphone	none
votal.ai ↗	70 match 2 shared topics	Runtime Security Platform for Agentic AI \| Votal AI	en	information-and-network-security	robots llmsaihumans	emailphone	none
hp7.io ↗	70 match 2 shared topics	HP7 Security - AI-Powered Enterprise Cybersecurity	en	information-and-network-security	robotsllmsaihumans	email phone	none
backslash.security ↗	70 match 2 shared topics	Backslash \| Agentic AI Endpoint Security Platform	en	information-and-network-security Webflow	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.