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Usman Mustafa | Technology Executive & Author — 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
svastitechsoln.com ↗	70 match 2 shared topics	Svasti Technology Solutions \| Advanced Cybersecurity & AI	en	information-and-network-security	robotsllmsaihumans	emailphone	none
salfcore.com ↗	68 match 2 shared topics	SALFCORE Technologies	en	artificial-intelligence WordPress	robots llmsaihumans	emailphone	none
abwcurious.com ↗	67 match 2 shared topics	ABWcurious Pvt Ltd \| Shaping A Better World With Technology	en	artificial-intelligence	robotsllmsaihumans	email phone	none
accuracttech.com ↗	67 match 2 shared topics	Accuract Technologies: Advanced Cybersecurity & AI Solutions	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
jorgemjzak.com ↗	67 match 2 shared topics	Jorge Martín Jarrín Żak — AI Strategy, Cybersecurity & the Human Side of Technology	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
axtechnology.io ↗	67 match 2 shared topics	Axtechnology.io - Cybersecurity, AI Development & Compliance Consulting \| Chicagoland Area	US~ en	information-and-network-security	robotsllmsaihumans	email phone	none
nanomatrixsecure.com ↗	67 match 2 shared topics	NanoMatriX Technologies Limited	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
sarahtoninsecure.com ↗	66 match 2 shared topics	Sarahtonin Secure & Technologix \| Cybersecurity meets human-centered design.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
zulkomtechnologies.com ↗	66 match 2 shared topics	Zulkom Technologies	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
ackuity.ai ↗	66 match 2 shared topics	Agent Execution Guardrails	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
navicoretechnologies.com ↗	66 match 2 shared topics	Guardian AI — Edge-AI Surveillance & Incident Intelligence \| Navicore Technologies	en	information-and-network-security	robotsllmsaihumans	email phone	none
cryptovoips.com ↗	66 match 2 shared topics	CryptoVoip Technologies \| AI, Security & Innovation	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cryptovoip.tech ↗	66 match 2 shared topics	CryptoVoip Technologies \| AI, Security & Innovation	en	information-and-network-security	robotsllmsaihumans	emailphone	none
avairysolutions.com ↗	66 match 2 shared topics	A.I. Technology & Information Sharing for PSAP's and Law Enforcement	en	information-and-network-security	robotsllmsaihumans	emailphone	none
havenlon.com ↗	65 match 2 shared topics	Havenlon \| Hardware-Enforced Execution Control	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
auvexra.com ↗	65 match 2 shared topics	Auvexra \| Sovereign Authority Infrastructure	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
sydantic.com ↗	65 match 2 shared topics	SydanticIQ Technologies — AI, Cybersecurity & Privacy Advisory	en	information-and-network-security	robotsllmsaihumans	emailphone	none
driven.tech ↗	65 match 2 shared topics	Driven Tech	en	information-and-network-security WordPress	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.