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Daniel Klosterman | AI Systems Leader | danielklosterman.com — 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 Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
vitruviuscyber.com ↗	67 match 2 shared topics	Vitruvius Cyber Systems \| AI Security and Zero Trust Advisory	en	information-and-network-security	robots llmsaihumans	emailphone	none
mordavid.com ↗	66 match 2 shared topics	MOR DAVID - Penetration Tester \| AI Cyber Operator \| Cyber Security Expert \| Team Leader \| Red Team	en	information-and-network-security	robotsllmsaihumans	emailphone	none
clone-systems.eu ↗	66 match 2 shared topics	Home - Clone Systems CY	European Union en	information-and-network-security	robotsllmsaihumans	emailphone	none
jamescalhoun.co ↗	66 match 2 shared topics	James Calhoun - CyberSec, AI Systems & Compliance \| Mojave Corp	Colombia en	information-and-network-security	robotsllmsaihumans	emailphone	none
polyrize.com ↗	65 match 2 shared topics	Varonis \| Leader in Data and AI Security. For Cloud, SaaS and On-Prem	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
larnelhight.com ↗	65 match 2 shared topics	Larnel J Hight — AI Governance & Security Leadership	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
sibermate.com ↗	65 match 2 shared topics	SiberMate \| AI Personal Trainer \| Security Awareness	en	information-and-network-security HubSpot	robots llmsaihumans	emailphone	none
sibhi.com ↗	64 match 2 shared topics	Sibhi S \| Machine Learning & Quantum Systems \| VIT Chennai	India~ en	artificial-intelligence	robots llmsaihumans	emailphone	partial · 8
krishnac.com ↗	64 match 2 shared topics	Krishna C - Director, Cybersecurity x Agentic AI	United States~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
aletheialabs.org ↗	64 match 2 shared topics	Aletheia — An applied research lab working on the epistemic safety of frontier AI systems	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
eternaedge.com ↗	64 match 2 shared topics	EternaEdge \| Autonomous Intelligence Operating System	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
shuchonaorthi.com ↗	64 match 2 shared topics	Shuchona Malek Orthi \| IEEE & Springer Published Researcher \| AI Cybersecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
consiro.io ↗	64 match 2 shared topics	Consiro Advisory \| Built for Leaders Navigating the Next Era of Cybersecurity	en	artificial-intelligence Squarespace Magento	robotsllmsaihumans	emailphone	none
hieuluong.com ↗	64 match 2 shared topics	Hieu Luong \| AI · Blockchain · Cybersecurity Architect	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hiddenlayer.com ↗	64 match 2 shared topics	HiddenLayer \| Total AI Security	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 7
polaris-n.com ↗	64 match 2 shared topics	Polaris-N \| Security & AI Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
pointguardai.com ↗	64 match 2 shared topics	AI Application Security & Governance - PointGuard AI	en	information-and-network-security	robotsllmsaihumans	emailphone	none
owasp-finbot-ctf.org ↗	63 match 2 shared topics	OWASP FinBot CTF - The Juice Shop for Agentic AI	en	artificial-intelligence	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.