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ProteQon — Offensive Security & Penetration Testing — 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
vlocksecurity.com ↗	80 match 1 shared topics	Vlock Security \| Offensive Security & Penetration Testing — Washington DC	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
0block.org ↗	79 match 1 shared topics	0block — We break it before they do. \| Offensive Security & Penetration Testing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
omnia-sec.com ↗	78 match 1 shared topics	Omnia Security \| Offensive Security & Penetration Testing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
omni-cyber.com ↗	78 match 1 shared topics	Cyber Security & Penetration Testing Specialists	United Kingdom~ en	information-and-network-security	robotsllmsaihumans	email phone	none
facsecurity.com ↗	78 match 1 shared topics	FacSecurity — Cybersecurity & Penetration Testing	en	information-and-network-security	robotsllmsaihumans	email phone	none
brucesecure.com ↗	77 match 1 shared topics	Bruce Secure \| Penetration Testing & Security Consultancy	en	information-and-network-security	robotsllmsaihumans	emailphone	none
budget-security.com ↗	76 match 1 shared topics	Budget Security \| Self-Serve Penetration Testing Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
budgetsecurity.com ↗	76 match 1 shared topics	Budget Security \| Self-Serve Penetration Testing Platform	en	information-and-network-security	robots llmsaihumans	emailphone	none
budgetsecurity.io ↗	76 match 1 shared topics	Budget Security \| Self-Serve Penetration Testing Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberhunter.solutions ↗	76 match 1 shared topics	Penetration Test & Security Testing Company	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
opendatasecurity.co.uk ↗	76 match 1 shared topics	Open Data Security — Authorised Red Team & Penetration Testing	United Kingdom en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
darklinelabs.com ↗	76 match 1 shared topics	DarkLine Security - Elite Cybersecurity Penetration Testing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aphoticsecurity.com ↗	76 match 1 shared topics	Penetration Testing & Cybersecurity Services	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
factionsecurity.com ↗	76 match 1 shared topics	FACTION Security - Automated Penetration Testing Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
haxoris.ch ↗	75 match 1 shared topics	Penetration testing and cybersecurity solutions \| Haxoris	Switzerland en	information-and-network-security	robotsllmsaihumans	emailphone	none
startzeoredteam.com ↗	75 match 1 shared topics	Penetration Testing & Security Engineering \| Zeo InfoSec Omaha	en	information-and-network-security	robotsllmsaihumans	email phone	none
cyberline.uk ↗	75 match 1 shared topics	Cyberline — Precision Offensive Security	United Kingdom en	information-and-network-security	robotsllmsaihumans	emailphone	none
vladimircuc.com ↗	75 match 1 shared topics	Vladimir Cuc \| Security Engineer & Penetration Tester	en	information-and-network-security	robotsllmsaihumans	email phone	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.