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Securingappecosystems alternatives & similar sites

Maintaining Security in the Ecosystem of Mobile Applications — 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
demodoo.com ↗	72 match 2 shared topics	DEMO d. o. o. - Modern iOS Applications for Mobile Security	HR~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
derscanner.com ↗	71 match 2 shared topics	Full-Cycle Application Security Testing Platform \| DerScanner	en	information-and-network-security	robots llmsaihumans	emailphone	none
acunetix.com ↗	70 match 2 shared topics	Acunetix \| Web Application Security Scanner	US~ en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
fccebv.com ↗	70 match 2 shared topics	FCCE B.V. - Modern iOS Applications for Enhanced Security \| VPN & Cleaner Apps	en	software-and-applications	robotsllmsaihumans	emailphone	none
absolutesoftsystem.com ↗	70 match 2 shared topics	Absolute \| Leading Anti-Theft and Mobile Security Solutions.	IN~ en	information-and-network-security	robotsllmsaihumans	email phone	none
batmansenin.app ↗	69 match 2 shared topics	KOBIL AppShield: Mobile App Security Scanner \| Android & iOS	en	information-and-network-security	robotsllmsaihumans	emailphone	none
digitanium.net ↗	69 match 2 shared topics	KOBIL AppShield: Mobile App Security Scanner \| Android & iOS	en	information-and-network-security	robotsllmsaihumans	emailphone	none
platformsenin.com ↗	69 match 2 shared topics	KOBIL AppShield: Mobile App Security Scanner \| Android & iOS	en	information-and-network-security	robotsllmsaihumans	emailphone	none
symkousa.com ↗	69 match 2 shared topics	KOBIL AppShield: Mobile App Security Scanner \| Android & iOS	en	information-and-network-security	robotsllmsaihumans	emailphone	none
synterax.com ↗	69 match 2 shared topics	KOBIL AppShield: Mobile App Security Scanner \| Android & iOS	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sandsrefractories.com ↗	69 match 2 shared topics	OpenText Application Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
usearcjet.com ↗	69 match 2 shared topics	Arcjet - Application security that runs inside your code	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
acumera.app ↗	69 match 2 shared topics	Acumera Tech mobile app for secure, fast Acumera MG activation	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
joinarcjet.com ↗	69 match 2 shared topics	Arcjet - Application security that runs inside your code	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
salesforcedevsecops.com ↗	69 match 2 shared topics	Application Security Testing Platform for Salesforce & B2C	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
avenood.com ↗	68 match 2 shared topics	AVEN OOD \| iOS Application Development — VPN & Cleaner	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
adelladoo.com ↗	68 match 2 shared topics	ADELLA d. o. o. - Modern iOS Applications \| VPN & Cleaner Apps	en	software-and-applications	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.