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Myntex | Mobile Security Solutions: Secure OS and Encrypted Communications — 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
omnisec.com.br ↗	70 match 2 shared topics	OMNI Security — Mobile Application Security	Brazil en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
omnisecurity.com.br ↗	70 match 2 shared topics	OMNI Security — Mobile Application Security	Brazil en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
sigmaticlabs.io ↗	69 match 2 shared topics	Sigmatic Labs \| Modern Software & Security Solutions	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
miloginapp.cloud ↗	69 match 2 shared topics	FreeSpeechApp - Secure Communication Platform	en	software-and-applications	robotsllmsaihumans	emailphone	none
ztrace.com ↗	68 match 2 shared topics	zTrace Technologies - Software Solutions for Mobile Computing Security.	en	software-and-applications WordPress	robotsllmsaihumans	emailphone	none
trueauth.io ↗	68 match 2 shared topics	TrueAuth - Secure Authentication Solutions	en	software-and-applications	robotsllmsaihumans	emailphone	none
cyph.com ↗	68 match 2 shared topics	Cyph — End-to-End Encryption & Internet Privacy Solutions	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
ka13.app ↗	68 match 2 shared topics	Baselyt – Baseline-First Mobile Security \| KA13 Security Labs	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
deinsapp.com ↗	68 match 2 shared topics	KOBIL AppShield: Mobile App Security Scanner \| Android & iOS	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ibenim.com ↗	68 match 2 shared topics	KOBIL AppShield: Mobile App Security Scanner \| Android & iOS	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mypushpay.com ↗	68 match 2 shared topics	KOBIL AppShield: Mobile App Security Scanner \| Android & iOS	en	information-and-network-security	robotsllmsaihumans	emailphone	none
fixzensolutions.com ↗	68 match 2 shared topics	Fixzen Solutions \| Top Software & Digital Security Agency	en	software-and-applications WordPress	robotsllmsaihumans	emailphone	none
filesig.co.uk ↗	68 match 2 shared topics	Filesig - Cyber Security Software Solutions & Tools	United Kingdom en	information-and-network-security	robotsllmsaihumans	emailphone	none
iisllp.com ↗	68 match 2 shared topics	Integrated Information Solutions LLP \| Software and Cybersecurity Products	India~ en	information-and-network-security	robotsllmsaihumans	email phone	none
applicationsecurity.ca ↗	68 match 2 shared topics	Application Security - By Datarisk Canada	Canada en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
signando.com ↗	68 match 2 shared topics	Signando - Security Solutions for SMBs	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sire-srl.com ↗	67 match 2 shared topics	SIRE SRL – iOS App Development \| VPN & Cleaner for Mobile Security	Romania~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
360totalsecurity.com ↗	67 match 2 shared topics	360 Total Security for Home and Business \| Free & Easy	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.