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Dan Casmas | Enterprise Systems Architect — 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
3dtsi.com ↗	74 match 1 shared topics	3D Technology Services \| Enterprise Systems Integration	United States~ en	information-and-network-security	robotsllmsaihumans	email phone	none
estteco.com ↗	72 match 1 shared topics	ESSTECO \| Enterprise Security Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ktlystlabs.com ↗	71 match 1 shared topics	KTLYST Labs — The Nervous System for Enterprise Security	en	information-and-network-security	robots llmsaihumans	emailphone	full · 10
mintergraph.com ↗	70 match 1 shared topics	M Intergraph Systems \| IT Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
legalx.live ↗	70 match 1 shared topics	Legal X Security \| Cybersecurity Architect & IT Systems Specialist	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
7elmstrategies.com ↗	69 match 1 shared topics	7 Elm Strategies \| Enterprise Security & Risk Advisory	en	information-and-network-security	robotsllmsaihumans	emailphone	none
accends.io ↗	69 match 1 shared topics	Accends \| Enterprise Cybersecurity, AI, Rapid Recovery & Hybrid Cloud	United States~ en	information-and-network-security	robotsllmsaihumans	email phone	none
networksharks.ca ↗	69 match 1 shared topics	NetworkSharks Consulting Inc. \| Enterprise Cybersecurity & IT/OT Advisory	Canada en	information-and-network-security	robotsllmsaihumans	email phone	none
packetninjas.net ↗	68 match 1 shared topics	Packet Ninjas - Proactively Strengthen Enterprise Security	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
packetninjas.com ↗	68 match 1 shared topics	Packet Ninjas - Proactively Strengthen Enterprise Security	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
mctouch.tech ↗	68 match 1 shared topics	McTouch Consulting \| Enterprise Cybersecurity & Compliance	en	information-and-network-security	robotsllmsaihumans	emailphone	none
alertmonitor.ai ↗	68 match 1 shared topics	AlertMonitor \| Enterprise Monitoring + Security Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aldrencraft.com ↗	68 match 1 shared topics	Aldren Craft — Enterprise standing, from day one	en	information-and-network-security	robotsllmsaihumans	emailphone	none
pacrom.digital ↗	68 match 1 shared topics	Re-Pointing the Enterprise	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
compuquiptechnologies.com ↗	68 match 1 shared topics	Cybersecurity Solutions \| Enterprise IT Security Services \| Compuquip	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
compuquipcybersecurity.com ↗	68 match 1 shared topics	Cybersecurity Solutions \| Enterprise IT Security Services \| Compuquip	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
compuquip.com ↗	68 match 1 shared topics	Cybersecurity Solutions \| Enterprise IT Security Services \| Compuquip	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
cssecure.net ↗	68 match 1 shared topics	CS SECURE LIMITED — Enterprise Cybersecurity Solutions	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.