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SANS FOR308: Digital Forensics Essentials — 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
digitalforensicslab.co.uk ↗	72 match 1 shared topics	Home -Digital Forensics Lab	GB en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
0ffsec.com ↗	69 match 1 shared topics	Offsec Labs - Digital Forensics & Cybersecurity Services	en	information-and-network-security	robotsllmsaihumans	emailphone	none
fryetech.com ↗	69 match 1 shared topics	FryeTech Consulting - Digital Forensics Expert \| IT Consultant	en	information-and-network-security	robotsllmsaihumans	emailphone	none
digitalforensicsinvestigations.co.uk ↗	68 match 1 shared topics	Digital Forensics Investigations - Digital Forensics Investigations	GB en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
digitalforensicsinvestigations.uk ↗	68 match 1 shared topics	Digital Forensics Investigations - Digital Forensics Investigations	GB en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
digital-forensics.co.uk ↗	68 match 1 shared topics	Uncover the truth \| Digital Detectives \| Digital Forensics	GB en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
africred.net ↗	68 match 1 shared topics	Africred - Digital Credentials for Africa	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cs-lab.co.uk ↗	68 match 1 shared topics	ACME Forensics UK	GB en	information-and-network-security	robotsllmsaihumans	emailphone	none
cs-lab.uk ↗	68 match 1 shared topics	ACME Forensics UK	GB en	information-and-network-security	robotsllmsaihumans	emailphone	none
chasefranse.com ↗	68 match 1 shared topics	Chase Franse \| Cybersecurity Professional & Digital Forensics Specialist	en	information-and-network-security	robotsllmsaihumans	emailphone	none
idiscoverysolutions.com ↗	67 match 1 shared topics	iDiscovery Solutions - Digital Forensic, eDiscovery, Data Privacy	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
idsinc.com ↗	67 match 1 shared topics	iDiscovery Solutions - Digital Forensic, eDiscovery, Data Privacy	en	information-and-network-security WordPress	robots llmsaihumans	email phone	none
cipherforensics.org ↗	67 match 1 shared topics	Cipher Forensics	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	partial · 8
cyberanalytics.in ↗	67 match 1 shared topics	Cyber Privilege - Digital Forensics and Information Security Services \| Cyber Privilege	IN en	information-and-network-security	robotsllmsaihumans	emailphone	none
a-forensics.com ↗	66 match 1 shared topics	A-Forensics	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aceforensicstx.com ↗	66 match 1 shared topics	Ace Forensics: Leading Digital Investigators and Security Experts	en	information-and-network-security Weebly	robotsllmsaihumans	emailphone	none
hexforensics.com ↗	66 match 1 shared topics	Home - Hex Forensics	NG~ en	information-and-network-security	robotsllmsaihumans	email phone	partial · 5
idv4.com ↗	66 match 1 shared topics	\| On Digital Identity	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.