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Audit and Security Software Tools for SAP Environments — 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 Software And Applications →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
bcsc.net ↗	73 match 2 shared topics	BCSC - RACF and security software and services for the mainframe	en	software-and-applications	robotsllmsaihumans	emailphone	none
ctrlcore.net ↗	71 match 2 shared topics	Software Security Consultancy & Advisory	en	information-and-network-security	robotsllmsaihumans	emailphone	none
demonicbinary.com ↗	71 match 2 shared topics	Software Engineering Services for Mobile, Backend, and Security	US~ en	information-and-network-security	robotsllmsaihumans	email phone	none
sast-solutions.com ↗	71 match 2 shared topics	SAST SOLUTIONS for SAP Security & Compliance	en	information-and-network-security Contao	robotsllmsaihumans	email phone	none
cryptosys.net ↗	71 match 2 shared topics	CryptoSys cryptography software tools for developers	en	information-and-network-security	robots llmsaihumans	emailphone	none
navpointalpha.com ↗	71 match 2 shared topics	NAVPOINT — Software for Physical Security Teams	en	software-and-applications	robotsllmsaihumans	emailphone	none
zsolutionsit.com ↗	71 match 2 shared topics	zSolutions Ltd \| Cybersecurity & Software Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1-abc.net ↗	70 match 2 shared topics	1-abc.net - security software, tuning and optimization tools for WinXP/Vista/7/8/10	en	software-and-applications	robotsllmsaihumans	emailphone	none
nctechsecure.com ↗	70 match 2 shared topics	Cybersecurity Software for Small Businesses \| North Carolina Technologies	en	information-and-network-security	robotsllmsaihumans	emailphone	none
abysss.io ↗	70 match 2 shared topics	ABYSSS \| Security • Systems • Software	LB~ en	information-and-network-security	robots llmsaihumans	email phone	partial · 7
mcasecurity.co.uk ↗	70 match 2 shared topics	Software and Hardware Development for the Electronic Security Industry	GB en	software-and-applications	robotsllmsaihumans	email phone	none
ustxp.com ↗	70 match 2 shared topics	USTXP \| Enterprise Software & Cybersecurity Solutions	US~ en	information-and-network-security	robots llmsaihumans	emailphone	none
crystal-onyx.com ↗	70 match 2 shared topics	Data Security Software Indianapolis \| Crystal Onyx	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
crystalonyx.com ↗	70 match 2 shared topics	Data Security Software Indianapolis \| Crystal Onyx	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	partial · 8
csirtfoundry.com ↗	70 match 2 shared topics	Ingenious tools for security teams [CSIRT Foundry]	en	information-and-network-security	robotsllmsaihumans	emailphone	none
nelsat.com ↗	69 match 2 shared topics	Nelsat — Custom software & cybersecurity	KE~ en	information-and-network-security	robotsllmsaihumans	email phone	none
360amigo.com ↗	69 match 2 shared topics	Download Security Software for Windows, Mac, Android & iOS \| Avira Antivirus	en	information-and-network-security	robotsllmsaihumans	emailphone	none
usesystemsurveyor.com ↗	69 match 2 shared topics	Security System Design Software \| Digital Site Survey Tool	en	software-and-applications WordPress WooCommerce	robotsllmsaihumans	email phone	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.