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DATAZAD – Protect. Develop. Dominate. — 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
mcneilcyber.com ↗	65 match 2 shared topics	McNeil Cyber \| Web Development & Cybersecurity	en	web-development	robotsllmsaihumans	emailphone	partial · 8
24sept.com ↗	65 match 2 shared topics	24Sept - Cybersecurity & Secure Development	en	web-development	robotsllmsaihumans	emailphone	none
devcert.net ↗	65 match 2 shared topics	DevCert - Local Development Certificates	en	information-and-network-security	robotsllmsaihumans	emailphone	none
virovici.com ↗	64 match 2 shared topics	Virovici - Full-Stack Development & Cybersecurity	en	information-and-network-security	robots llmsaihumans	emailphone	none
atomic.computer ↗	64 match 2 shared topics	atomic.computer — Cybersecurity, Infrastructure & Web Development	en	information-and-network-security	robotsllmsaihumans	emailphone	none
darahk.com ↗	64 match 2 shared topics	Dara Hedayat Kordestani - Professional Web Developer & Cybersecurity Expert	en	web-development WooCommerce	robotsllmsaihumans	emailphone	none
mbuharigkz.com ↗	64 match 2 shared topics	M. Buhari Gokoz \| Software Developer — Java, Node.js, Cybersecurity & Minecraft	Turkey~ en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
btob-solutions.dev ↗	63 match 2 shared topics	BTOB Solutions \| Web Design & Development	en	web-development	robotsllmsaihumans	emailphone	none
bsakshat.com ↗	63 match 2 shared topics	Sakshat Bhattarai - Developer & Cybersecurity Professional	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bugnbull.com ↗	63 match 2 shared topics	BUGnBULL — Cyber Security, Web Development, Stock Market Services	en	information-and-network-security	robotsllmsaihumans	emailphone	none
fabiengrenier.com ↗	63 match 2 shared topics	FABIEN GRENIER – co-founder & CEO at DataDome – Protect the websites from bad #bots to make the Web a safer place	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
hephasec.com ↗	63 match 2 shared topics	HephaSec \| Web Development and Cybersecurity Services for Small Business	en	web-development WordPress	robotsllmsaihumans	emailphone	none
darklabradors.com ↗	63 match 2 shared topics	Dark Labradors \| Quality-First Web Development	en	web-development	robotsllmsaihumans	emailphone	none
douglaskwarteng.com ↗	63 match 2 shared topics	Douglas Kwarteng \| Cybersecurity Engineer & Full-Stack Developer	United States~ en	web-development	robotsllmsaihumans	email phone	none
cybercloud.pro ↗	63 match 2 shared topics	Mauricio Troche \| Cybersecurity & Cloud Development Professional	en	information-and-network-security	robotsllmsaihumans	emailphone	none
eugenemathenge.dev ↗	63 match 2 shared topics	Eugene Mathenge - Ethical Hacker, Security Analyst & Full Stack Developer	en	web-development	robotsllmsaihumans	emailphone	none
srachetrai.dev ↗	63 match 2 shared topics	Srachet Rai - Cybersecurity Specialist & Web Developer Portfolio	en	web-development	robotsllmsaihumans	emailphone	none
anytechnos.com ↗	62 match 2 shared topics	Techy – IT Solution & Web Security React Template	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.