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Purple Team Collaboration | Bridging Red & Blue Security Operations — 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
protoxol.com ↗	72 match 1 shared topics	Protoxol — Unified security operations platform	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8
assuremail.com ↗	71 match 1 shared topics	Managed Security Operations & SOC Services \| SSS NZ	en	information-and-network-security	robotsllmsaihumans	email phone	none
intqu.com ↗	70 match 1 shared topics	INTQU - Next-Generation Security Operations Center (SOC) Services	en	information-and-network-security	robotsllmsaihumans	emailphone	none
vtemlabs.com ↗	70 match 1 shared topics	VTEM Labs - Building the Future of Security Operations	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1redteam.com ↗	70 match 1 shared topics	1RedTeam - Red & Blue Team Services	en	information-and-network-security	robotsllmsaihumans	emailphone	none
psirt.com ↗	69 match 1 shared topics	PSIRT — Product Security Incident Response Team	en	information-and-network-security	robotsllmsaihumans	emailphone	none
astralsecurity.io ↗	69 match 1 shared topics	Astral Security — The Modern Security Operations Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
athosprotectiongroup.com ↗	69 match 1 shared topics	“Comprehensive Security Solutions \| ATHOS Protection Group”	en	information-and-network-security	robotsllmsaihumans	email phone	none
prysmone.com ↗	69 match 1 shared topics	Prysm - Security Operations Platform for Critical Infrastructure	Greece~ en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
nerddual.com ↗	68 match 1 shared topics	NerdDual \| Cyber Operations Hub	en	information-and-network-security	robotsllmsaihumans	emailphone	none
negrinisecurity.com ↗	68 match 1 shared topics	Negrini Security \| Red Team and Penetration Testing.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
pulsarpoint.com ↗	68 match 1 shared topics	Pulsarpoint - Penetration Testing & Security Auditing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
networking4all.eu ↗	68 match 1 shared topics	Expert in SSL, Penetration testing & Managed Security \| Networking4all	European Union en	information-and-network-security Storyblok	robotsllmsaihumans	emailphone	none
astrolabesecurity.com ↗	68 match 1 shared topics	Astrolabe Security — Precision. Trust. Clarity.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
intertechci.com ↗	68 match 1 shared topics	Intertech Ci \| Security System Integration And Installation	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
boostsecurity.io ↗	68 match 1 shared topics	Application Security Management & Supply Chain Protection \| BoostSecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
vupen.com ↗	68 match 1 shared topics	VUPEN Security - Vulnerability Research and Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
neptunep2pgroup.com ↗	68 match 1 shared topics	Global Security Risk Solutions \| Neptune P2P Group	en	information-and-network-security WordPress WooCommerce	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.