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Red Team Operations & Offensive Security Testing | AI Red Teaming Australia | Frontier Cyber — 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
voicesbylisa.com ↗	100 match 2 shared topics	Red Team Operations & Offensive Security Testing \| AI Red Teaming Australia \| Frontier Cyber	Australia~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
360sec.com ↗	72 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
proveyourcontrols.com ↗	72 match 2 shared topics	Home \| Red Team Security Solutions, LLC	en	information-and-network-security	robotsllmsaihumans	emailphone	none
volkankutal.com ↗	70 match 2 shared topics	Volkan Kutal - Agentic AI Red Teaming & Security Validation	Germany~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
lithops-consulting.com ↗	70 match 2 shared topics	LithOps Consulting \| AI & CyberSecurity Experts	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0eroshot.com ↗	70 match 2 shared topics	ZeroShot — Offensive Security Testing for AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
vorota.ai ↗	69 match 2 shared topics	Vorota AI \| Security Testing at Machine Speed	en	information-and-network-security	robots llmsaihumans	emailphone	none
0xclaw.dev ↗	69 match 2 shared topics	Local AI pentesting for security teams	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 7
escape.tech ↗	69 match 2 shared topics	Escape: AI-Powered Offensive Security Platform	en	information-and-network-security Webflow	robotsllmsaihumans	emailphone	none
astvlive.com ↗	69 match 2 shared topics	Dark Asura - AI Security & Penetration Testing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
intruex.com ↗	69 match 2 shared topics	Intruex \| AI-Powered Security Operations	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
ericfleming.ai ↗	68 match 2 shared topics	Eric Fleming \| Security + AI Operator	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
sitetec-tel.com ↗	68 match 2 shared topics	Tec-Tel \| AI Security Integration for Multi-Site Operators	United States~ en	information-and-network-security	robotsllmsaihumans	email phone	none
llmrecon.com ↗	68 match 2 shared topics	LLMrecon - Advanced LLM Security Testing Framework	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hp7.io ↗	67 match 2 shared topics	HP7 Security - AI-Powered Enterprise Cybersecurity	en	information-and-network-security	robotsllmsaihumans	email phone	none
astreoninnovations.com ↗	67 match 2 shared topics	Astreon Innovations \| AI-Powered Cybersecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
integrityfirstcyber.com ↗	67 match 2 shared topics	Integrity First Cyber Solutions \| AI-Native Cybersecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
intraqa.com ↗	67 match 2 shared topics	Software Testing, QA Automation & Security AI-Driven Quality	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.