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Mykhailo Zborovskyi: People as the Primary Vulnerability of the Digital Fortress — 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
simasware.com ↗	71 match 1 shared topics	SimasWare \| The Digital Fortress	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kaspera.net ↗	67 match 1 shared topics	Kaspera \| Advanced Cybersecurity for the Digital Age	en	information-and-network-security	robotsllmsaihumans	emailphone	none
defendefy.com ↗	67 match 1 shared topics	Defendefy – Guarding the Digital You	en	information-and-network-security	robotsllmsaihumans	emailphone	none
trixyfaurefield.com ↗	66 match 1 shared topics	Trixy \| Cybersecurity & Digital Forensics	en	information-and-network-security	robotsllmsaihumans	emailphone	none
zycorasolutions.com ↗	66 match 1 shared topics	Cybersecurity & Digital Forensics Portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	none
floridacybersecurity.com ↗	66 match 1 shared topics	Vulnerability & Risk Assessment - CovertHart	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
idiscoverysolutions.com ↗	66 match 1 shared topics	iDiscovery Solutions - Digital Forensic, eDiscovery, Data Privacy	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
idsinc.com ↗	66 match 1 shared topics	iDiscovery Solutions - Digital Forensic, eDiscovery, Data Privacy	en	information-and-network-security WordPress	robots llmsaihumans	email phone	none
igorjozefowicz.com ↗	66 match 1 shared topics	Vulnerability Vault - Home Page	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kavachalliance.org ↗	66 match 1 shared topics	KAVACH Alliance — Securing the Digital Future Together, Beyond Borders	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sigmashieldtech.com ↗	66 match 1 shared topics	Sigma Shield \| Cybersecurity & Digital Forensics	en	information-and-network-security	robotsllmsaihumans	emailphone	none
allsourcemanagement.com ↗	66 match 1 shared topics	Allsource Management Inc. — Cybersecurity, Digital Forensics & Business Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberspec.pro ↗	66 match 1 shared topics	CyberSpec - Advanced Cybersecurity Platform \| Vulnerability Management & Network Security	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
bruteforensics.com ↗	66 match 1 shared topics	Digital Forensic Audits and Cybersecurity \| Brute Forensics	en	information-and-network-security	robotsllmsaihumans	emailphone	none
defens3.com ↗	66 match 1 shared topics	Defens3 — Automated Vulnerability Scanning & Penetration Testing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
defendshieldcybersecurity.com ↗	66 match 1 shared topics	DefendShield Cybersecurity \| Securing Your Digital Future	en	information-and-network-security	robotsllmsaihumans	email phone	none
cvedispatch.com ↗	66 match 1 shared topics	CVE Dispatch — Vulnerability intelligence for MSPs	en	information-and-network-security	robotsllmsaihumans	emailphone	none
forint.co.uk ↗	66 match 1 shared topics	Bastion Advisory \| Cyber Resilience, Digital Forensics & Compliance	United Kingdom en	information-and-network-security HubSpot	robotsllmsaihumans	email phone	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.