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Brad Tenenholtz | Cybersecurity, AI, and Geopolitics — 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
jonadas.com ↗	72 match 2 shared topics	Jônadas Techio — Philosophy, AI, and Cybersecurity	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
derekram.com ↗	71 match 2 shared topics	Derek Ram — Cybersecurity, AI & Practical Systems	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyb-sec.dev ↗	71 match 2 shared topics	Wayne \| CyberGuard AI & Cybersecurity Portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
epcnetwork.co.uk ↗	71 match 2 shared topics	EPC Network \| Cybersecurity & AI Consultancy	GB en	information-and-network-security	robotsllmsaihumans	emailphone	none
dikeakos.me ↗	71 match 2 shared topics	George Dikeakos — Cybersecurity & AI	en	information-and-network-security	robotsllmsaihumans	emailphone	none
nawaf-alluqmani.com ↗	70 match 2 shared topics	TechBlog — Cybersecurity, AI & Data Science	en	information-and-network-security	robotsllmsaihumans	emailphone	none
deshcyber.com ↗	70 match 2 shared topics	DeshCyber \| AI-Based Cybersecurity, GRC, and Automation Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
navlabs.io ↗	70 match 2 shared topics	NavLabs — AI, cybersecurity, and compliance, engineered together	GB~ en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8
svastitechsoln.com ↗	70 match 2 shared topics	Svasti Technology Solutions \| Advanced Cybersecurity & AI	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybermassive.tech ↗	70 match 2 shared topics	CyberMassive \| Cybersecurity Consulting for Startups & AI Companies	en	information-and-network-security	robotsllmsaihumans	emailphone	none
deep.net ↗	69 match 2 shared topics	Deep Systems Lab \| Cybersecurity & AI Systems Advisory	en	artificial-intelligence WordPress WooCommerce	robots llmsaihumans	emailphone	none
sarahtoninsecure.com ↗	69 match 2 shared topics	Sarahtonin Secure & Technologix \| Cybersecurity meets human-centered design.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberplus.co.uk ↗	69 match 2 shared topics	CyberPlus AI/AR Cybersecurity (Cyber+)	GB en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	partial · 8
cybersecuritygpt.store ↗	69 match 2 shared topics	CyberGPT Store - AI Assistants for Cybersecurity \| CyberGPT Store	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
deepvoid.tech ↗	69 match 2 shared topics	DeepVoid \| The Ultimate AI Cybersecurity Tool	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
3mpath.net ↗	69 match 2 shared topics	3mpath — AI-Cybersecurity Architect	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
5thsphere.com ↗	69 match 2 shared topics	5th Sphere \| Next-Generation 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.