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Splunk, Linux Security and Data Visualization – Mike Ward — 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
assuredata.eu ↗	68 match 1 shared topics	Cyber Security And Data Protection Specialists \| Assuredata	European Union en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
computerprivacyuk.com ↗	67 match 1 shared topics	Information Security and Privacy Management	en	information-and-network-security	robotsllmsaihumans	email phone	none
apostrophy.ch ↗	67 match 1 shared topics	Apostrophy - Ultimate Privacy and Data Security	Switzerland en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
korit.io ↗	67 match 1 shared topics	Korit — Tri-layer Linux Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
lascon.org ↗	67 match 1 shared topics	LASCON – Lonestar Application Security Conference	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
shrijishah.com ↗	66 match 1 shared topics	Shriji Shah - Security and Information Technology Specialist	en	information-and-network-security	robotsllmsaihumans	emailphone	none
100security.net ↗	66 match 1 shared topics	Security and Compliance \| 100% Security	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
ovpn.net ↗	66 match 1 shared topics	VPN for Security and Integrity \| OVPN.com	en	information-and-network-security Paddle	robotsllmsaihumans	emailphone	none
ovpn.org ↗	66 match 1 shared topics	VPN for Security and Integrity \| OVPN.com	en	information-and-network-security Paddle	robotsllmsaihumans	emailphone	none
computersolutionsnetworking.com ↗	66 match 1 shared topics	Managed Service Provider for Security and Telecommunication Needs	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cryptosec.net ↗	66 match 1 shared topics	Cryptosec - Crypto Cybersecurity and Investigations	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cryptosec.ai ↗	66 match 1 shared topics	Cryptosec - Crypto Cybersecurity and Investigations	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cryptoriskmanagers.com ↗	66 match 1 shared topics	Cryptosec - Crypto Cybersecurity and Investigations	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
davehaertel.co ↗	66 match 1 shared topics	Dave Haertel · Senior Information Security Analyst	Colombia en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
cryptosec.co ↗	66 match 1 shared topics	Cryptosec - Crypto Cybersecurity and Investigations	Colombia en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
1accord.net ↗	66 match 1 shared topics	1 Accord Consultting – Information Technology and Cyber Security Consulting	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
defisec.ch ↗	66 match 1 shared topics	Cryptosec - Crypto Cybersecurity and Investigations	Switzerland en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
dcastd.org ↗	66 match 1 shared topics	DC ASTD \| Advanced IT Security and Training	en	information-and-network-security WordPress	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.