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Yuli Mitsner | Principal Product Manager & Cybersecurity Strategist — 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
cytex.io ↗	70 match 2 shared topics	Leading Cybersecurity Solutions & Risk Management \| Cytex.io	en	information-and-network-security WordPress	robots llmsaihumans	email phone	none
checkcytex.com ↗	70 match 2 shared topics	Leading Cybersecurity Solutions & Risk Management \| Cytex.io	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
drivecytex.com ↗	70 match 2 shared topics	Leading Cybersecurity Solutions & Risk Management \| Cytex.io	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
epcnetwork.co.uk ↗	69 match 2 shared topics	EPC Network \| Cybersecurity & AI Consultancy	United Kingdom en	information-and-network-security	robotsllmsaihumans	emailphone	none
ozziegeeks.com ↗	69 match 2 shared topics	Brisbane AI & Cybersecurity for SMBs \| Ozzie Geeks AU NZ	Australia~ en	artificial-intelligence	robotsllmsaihumans	email phone	none
strahinjajanjusevic.com ↗	69 match 2 shared topics	Strahinja Janjusevic \| AI & Cybersecurity Researcher	en	artificial-intelligence	robots llmsaihumans	emailphone	none
trilogyworks.com ↗	69 match 2 shared topics	Trilogyworks \| AI & Cybersecurity Advisory	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
perisai.co.id ↗	69 match 2 shared topics	Peris.ai \| Agentic-AI Cybersecurity Platform	Indonesia en	information-and-network-security	robotsllmsaihumans	emailphone	none
aicyber.land ↗	69 match 2 shared topics	AI in Cybersecurity Land \| Podcast	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
heinrihs.org ↗	69 match 2 shared topics	Heinrihs Skrodelis — Cybersecurity Researcher & PhD Candidate	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8
accusights.com ↗	68 match 2 shared topics	AccuSights \| AI Cybersecurity Solutions & Compliance	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8
chapard.com ↗	68 match 2 shared topics	Clement Chapard \| Cybersecurity & AI	en	information-and-network-security	robotsllmsaihumans	emailphone	none
entropyresearch.ai ↗	68 match 2 shared topics	Entropy AI Research Labs - AI & Cybersecurity Research and Consultancy	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
7khoney.com ↗	68 match 2 shared topics	Book Your AI or Cybersecurity Strategy Session Today	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
ianroth.io ↗	68 match 2 shared topics	Ian Roth — Security Product Leader & Founder	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mind-core.com ↗	68 match 2 shared topics	AI-Powered IT & Cybersecurity Solutions \| Mindcore	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
dratifali.com ↗	68 match 2 shared topics	DR Atif Ali \| AI Researcher & Cybersecurity Expert Pakistan	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kyaniteblue.com ↗	68 match 2 shared topics	Kyanite Blue \| Expert Cybersecurity Solutions	United Kingdom~ 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.