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ParameterX | AI Security & Penetration Testing Experts — 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
mordavid.com ↗	75 match 2 shared topics	MOR DAVID - Penetration Tester \| AI Cyber Operator \| Cyber Security Expert \| Team Leader \| Red Team	en	information-and-network-security	robotsllmsaihumans	emailphone	none
vladdex.com ↗	74 match 2 shared topics	Vladdex \| AI-Powered Penetration Testing	United States~ en	information-and-network-security	robots llmsaihumans	emailphone	partial · 5
hex.co ↗	74 match 2 shared topics	Hex Security \| AI-Powered Autonomous Penetration Testing	Colombia en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
korrosiv.ai ↗	72 match 2 shared topics	Korrosiv.AI \| AI-Powered Penetration Testing Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
voicesbylisa.com ↗	70 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
0xclaw.dev ↗	70 match 2 shared topics	Local AI pentesting for security teams	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 7
krak-ai.com ↗	70 match 2 shared topics	KRAK AI - LLM Security Testing Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
vitruviuscyber.com ↗	70 match 2 shared topics	Vitruvius Cyber Systems \| AI Security and Zero Trust Advisory	en	information-and-network-security	robots llmsaihumans	emailphone	none
polaris-n.com ↗	69 match 2 shared topics	Polaris-N \| Security & AI Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
360sec.com ↗	69 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
pointguardai.com ↗	69 match 2 shared topics	AI Application Security & Governance - PointGuard AI	en	information-and-network-security	robotsllmsaihumans	emailphone	none
morningmistai.com ↗	69 match 2 shared topics	Morning Mist Technologies \| AI Security & Screening Intelligence	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
moosaahmed.com ↗	69 match 2 shared topics	Muhammad Moosa Ahmed - Cybersecurity & AI Expert	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cryptovoips.com ↗	68 match 2 shared topics	CryptoVoip Technologies \| AI, Security & Innovation	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cryptovoip.tech ↗	68 match 2 shared topics	CryptoVoip Technologies \| AI, Security & Innovation	en	information-and-network-security	robotsllmsaihumans	emailphone	none
devinanderson.dev ↗	68 match 2 shared topics	Devin Anderson \| Security Automation & AI	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
vmsecops.com ↗	68 match 2 shared topics	VM SecOps — Vasu Melipaka \| Senior Pentester & AI Security Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kraion.com ↗	68 match 2 shared topics	Kraion — IT, Cybersecurity & AI Consulting	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.