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FSK Guard — License Management for Software Developers — 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
keycybersolutions.com ↗	69 match 1 shared topics	Key Cyber Solutions (KCS) Software Development and Security Solutions	en	information-and-network-security Wix	robots llmsaihumans	emailphone	none
debugitservices.com ↗	69 match 1 shared topics	Debugit Services: Secure Software Development Solutions \| DebugIT Services	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cympl.cloud ↗	68 match 1 shared topics	Cympl — Continuous Cyber Risk Management for UK Businesses	en	information-and-network-security	robotsllmsaihumans	emailphone	none
gdprreadiness.com ↗	68 match 1 shared topics	Data Privacy Management Software & Solutions \| TrustArc	United States~ en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
accessly.info ↗	68 match 1 shared topics	Accessly - Secure Content Access Management	en	information-and-network-security	robotsllmsaihumans	emailphone	none
majdaltoufic.xyz ↗	68 match 1 shared topics	Toufic Majdalani \| Security Software Engineer & Linux Developer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberx.pro ↗	68 match 1 shared topics	Firewall Change Management - CyberX	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	email phone	none
majidmc2.site ↗	68 match 1 shared topics	Majid-Iranpour \| Security Engineer, Software Security Developer	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
cybertk.net ↗	67 match 1 shared topics	Cyber Tek — Managed IT, Software, Networking, AI & Cybersecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
defendwise.com ↗	67 match 1 shared topics	DefendWise — Flat-Fee Human Risk Management for MSPs	en	information-and-network-security	robots llmsaihumans	emailphone	none
keymanagementsummit.com ↗	67 match 1 shared topics	2008 IEEE Key Management Summit	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
keepasslx.com ↗	67 match 1 shared topics	KeePassLX — Enterprise Password Management for Linux	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kevin-muirhead.com ↗	67 match 1 shared topics	Kevin Muirhead — Software Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1password.cc ↗	67 match 1 shared topics	Passwords, Secrets, and Access Management \| 1Password	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1pass.world ↗	67 match 1 shared topics	Passwords, Secrets, and Access Management \| 1Password	en	information-and-network-security	robotsllmsaihumans	emailphone	none
agile.ws ↗	67 match 1 shared topics	Passwords, Secrets, and Access Management \| 1Password	en	information-and-network-security	robotsllmsaihumans	emailphone	none
wikitrace247.com ↗	67 match 1 shared topics	WikiTrace24/7 \| Wikipedia Monitoring, Page Security & Reputation Management	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1password.com ↗	67 match 1 shared topics	Passwords, Secrets, and Access Management \| 1Password	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.