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SIEMplexity Architect | Quantifying the Total Cost of Defense — 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
lundyunlimited.com ↗	66 match 1 shared topics	Home - IT Security Architect Consulting	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
josemariaosuorah.com ↗	66 match 1 shared topics	Josemaria Osuorah – Engineering the Future of Digital Defense	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
survivaltrait.com ↗	65 match 1 shared topics	Matthew P. Jennings \| Cybersecurity Architect & Speaker	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xrevenant.com ↗	65 match 1 shared topics	Oxrevenant Inc. \| Institutional Cybersecurity Architecture	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
sanctumsecure.com ↗	65 match 1 shared topics	SANCTUM Privacy Architects	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1patchsecurity.com ↗	65 match 1 shared topics	One Patch Security \| WordPress Security Architects	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hasplabs.com ↗	65 match 1 shared topics	Hasp Labs — Security Architecture & Engineering	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1defender.com ↗	65 match 1 shared topics	1Defender - Unified cybersecurity for total defense	en	information-and-network-security	robotsllmsaihumans	emailphone	none
luneguard.com ↗	64 match 1 shared topics	LuneGuard — Security for the New Agentic Architecture	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cryptosmith.com ↗	64 match 1 shared topics	Cryptosmith – Cyber and security architecture, not bitcoins	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
zqrid.com ↗	64 match 1 shared topics	ZQRID - Zero Trust Quantum-Resilient Identity Defense	en	information-and-network-security	robotsllmsaihumans	email phone	none
samirtahir.com ↗	64 match 1 shared topics	Samir Tahir \| Enterprise Cyber Security Architect for Regulated Transformation	en	information-and-network-security	robots llms aihumans	emailphone	none
digitaldefense.guide ↗	64 match 1 shared topics	Digital Defense Guide	en	information-and-network-security	robotsllmsaihumans	emailphone	none
miteksystems.co.uk ↗	64 match 1 shared topics	The Trusted Leader in Digital Fraud Defense \| Mitek	GB en	information-and-network-security Drupal	robots llmsaihumans	emailphone	none
miteksystems.uk ↗	64 match 1 shared topics	The Trusted Leader in Digital Fraud Defense \| Mitek	GB en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
crystaldefense.io ↗	64 match 1 shared topics	Crystal Defense – Offensive Security Consulting Firm	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
aarjavv.com ↗	64 match 1 shared topics	Aarjavv™ \| Intelligence-Driven Anti-Phishing Defense	en	information-and-network-security	robotsllmsaihumans	emailphone	none
josephvasapolli.com ↗	64 match 1 shared topics	Joseph Vasapolli — Security Researcher & Banking Rail Architect	US~ 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.