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Df F alternatives & similar sites

Dataflow Forensics | Mobile Threat Detection for Government — 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
mccidentity.com ↗	69 match 1 shared topics	MCC IDENTITY – Biometric Identity Verification for Government & Enterprises	en	information-and-network-security	robotsllmsaihumans	emailphone	none
digital-dreams.ch ↗	69 match 1 shared topics	Digital Dreams - Secure Digital Transformation for Government & Enterprise	Switzerland en	information-and-network-security	robotsllmsaihumans	emailphone	none
oxygenforensics.com ↗	68 match 1 shared topics	Oxygen Forensics: Digital Forensic Solutions	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
cloudsec.ch ↗	68 match 1 shared topics	Cybersecurity for businesses and governments - ZENDATA Cybersecurity	Switzerland en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
overwatch-cs.com ↗	67 match 1 shared topics	Overwatch Surveillance Detection	en	information-and-network-security Wix	robots llmsaihumans	emailphone	none
montyfunk.com ↗	67 match 1 shared topics	Audio & Video Production for Cyber Security \| Monty Funk	en	information-and-network-security Wix	robots llmsaihumans	emailphone	none
landginternational.net ↗	67 match 1 shared topics	Advanced RF Detection & SCIF Security \| L&G International	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
alexburst.dev ↗	67 match 1 shared topics	Alex Burst // Detection Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
digitalforensics.company ↗	67 match 1 shared topics	Digital Forensics for Individuals & Families \| SleuthX	en	information-and-network-security	robotsllmsaihumans	email phone	none
dfirlabs.org ↗	66 match 1 shared topics	DFIRLABS \| Digital Forensics South Africa - Home	en	information-and-network-security Weebly	robotsllmsaihumans	emailphone	none
dfirlabs.net ↗	66 match 1 shared topics	DFIRLABS \| Digital Forensics South Africa - Home	en	information-and-network-security Weebly	robotsllmsaihumans	emailphone	none
dfirlabs.info ↗	66 match 1 shared topics	DFIRLABS \| Digital Forensics South Africa - Home	en	information-and-network-security Weebly	robotsllmsaihumans	emailphone	none
24start.com ↗	66 match 1 shared topics	X•Proximity Cell Phone Detection - X-Proximity	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	partial · 8
1ondizayn.com ↗	66 match 1 shared topics	Bot Detection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
approov.io ↗	66 match 1 shared topics	Approov Mobile App Protection \| Mobile API Security \| Zero Trust	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
acato.co.uk ↗	66 match 1 shared topics	Cyber Security Experts \| ISO 27001 \| IT Forensics	United Kingdom en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
computerforensicsservices.com ↗	66 match 1 shared topics	Expert Computer and Data Forensics	en	information-and-network-security	robotsllmsaihumans	emailphone	none
coinmate.ch ↗	66 match 1 shared topics	CoinMate — Blockchain Forensics & Crypto Recovery	Switzerland en	information-and-network-security	robots llmsaihumans	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.