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QSS — Senior IT, Cybersecurity & AI Advisory · Morocco & North Africa — 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
quantumvantage.net ↗	100 match 2 shared topics	QSS — Senior IT, Cybersecurity & AI Advisory · Morocco & North Africa	Morocco~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyproglobal.net ↗	71 match 2 shared topics	CyproGlobal — Cybersecurity & AI Security Consulting	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
mchugh.ai ↗	70 match 2 shared topics	Jeremy McHugh, D.Sc. — Cybersecurity & AI	United States~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
chapard.com ↗	70 match 2 shared topics	Clement Chapard \| Cybersecurity & AI	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kenaid.io ↗	70 match 2 shared topics	Kenaid: Your Cybersecurity & AI Blog \| Kenaid	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cedrusstrategic.com ↗	70 match 2 shared topics	Cedrus Strategic - Cybersecurity Consulting & AI Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kdgenai.com ↗	70 match 2 shared topics	Terraservers Services — AI Strategy, Governance, Advisory and Cybersecurity	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
chamtechcorp.com ↗	69 match 2 shared topics	Chameleon Technologies \| Cybersecurity, Privacy & AI Assurance	en	information-and-network-security	robotsllmsaihumans	email phone	none
cybermassive.tech ↗	69 match 2 shared topics	CyberMassive \| Cybersecurity Consulting for Startups & AI Companies	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mildredrebecca.com ↗	69 match 2 shared topics	Mildred Rebecca \| Cybersecurity Governance & AI Risk	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberfort.systems ↗	69 match 2 shared topics	Cyberfort Systems — Global AI Cybersecurity	en	information-and-network-security	robots llmsaihumans	emailphone	none
4xfast.com ↗	69 match 2 shared topics	4xfast \| AI-Powered Cybersecurity & Technology Solutions	en	information-and-network-security	robotsllmsaihumans	email phone	none
eduardocybersec.com ↗	69 match 2 shared topics	Eduardo Camargo \| Cybersecurity Specialist & AI Professional	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberintell.net ↗	69 match 2 shared topics	Small Business Cybersecurity & AI Security \| Cyberintell Northeast Louisiana	en	information-and-network-security	robotsllmsaihumans	emailphone	none
nunoassis.biz ↗	69 match 2 shared topics	Nuno F. Assis, Data & AI \| Agentic AI \| Cybersecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
nunoassis.org ↗	69 match 2 shared topics	Nuno F. Assis, Data & AI \| Agentic AI \| Cybersecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
nunoassis.net ↗	69 match 2 shared topics	Nuno F. Assis, Data & AI \| Agentic AI \| Cybersecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
nunoassis.info ↗	69 match 2 shared topics	Nuno F. Assis, Data & AI \| Agentic AI \| Cybersecurity	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.