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Cybersecurity & Digital Forensics Portfolio — 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
digitalshield.net ↗	81 match 1 shared topics	Digital Shield – Cybersecurity & Digital Forensics Experts	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
0ffsec.com ↗	78 match 1 shared topics	Offsec Labs - Digital Forensics & Cybersecurity Services	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberexplainer.blog ↗	77 match 1 shared topics	Gordon Digital Forensics – Digital Forensics and Cybersecurity	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
afiqers.my ↗	76 match 1 shared topics	Muhammad Afiq — Cybersecurity Portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ayaabbes.com ↗	75 match 1 shared topics	Aya Abbes \| Cyber Security & Digital Forensics Graduate	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aadityakaushik.tech ↗	75 match 1 shared topics	Aaditya \| Cybersecurity Portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	none
exacrypt.net ↗	75 match 1 shared topics	Exacrypt Security: Experts Cyber Security, Digital Forensics	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
faresqaisi.com ↗	75 match 1 shared topics	Fares Alqaisi — Cybersecurity Portfolio	en	information-and-network-security	robotsllmsaihumans	email phone	none
cybirconsulting.net ↗	75 match 1 shared topics	CYBIR - Cyber Security, Incident Response, and Digital Forensics	US~ en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
0xbryan.com ↗	75 match 1 shared topics	Bryan Guevara \| Cybersecurity Portfolio	en	information-and-network-security	robots llmsaihumans	emailphone	none
avinashbalaji.com ↗	75 match 1 shared topics	Avinash Balaji \| Cybersecurity Analyst Portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	none
awareshields.com ↗	75 match 1 shared topics	Awareshield Limited — Cybersecurity & Digital Trust	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
digitalforensicslab.co.uk ↗	75 match 1 shared topics	Home -Digital Forensics Lab	GB en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
advsec.tech ↗	74 match 1 shared topics	ADVsec – Cybersecurity & Digital Risk Experts	en	information-and-network-security	robotsllmsaihumans	emailphone	none
edjenuwa.tech ↗	74 match 1 shared topics	Anthony E. Edjenuwa – Cybersecurity & AI Portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ncmsec.com ↗	74 match 1 shared topics	Nicole Mullen Cybersecurity Portfolio \| ncmsec	en	information-and-network-security	robotsllmsaihumans	emailphone	none
alexanderrodriguez-portfolio.com ↗	74 match 1 shared topics	Alexander Rodriguez Cybersecurity Portfolio \| Alexander Rodriguez	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xlolbullen.com ↗	74 match 1 shared topics	Victor Åhgren \| Cybersecurity Blog & Portfolio	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.