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Decrypt0 | Enterprise Web3 Security Infrastructure — 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
avarop.com ↗	75 match 1 shared topics	AVAROP — Enterprise Security Infrastructure Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
deviqor.com ↗	75 match 1 shared topics	Deviqor \| Global Enterprise Cybersecurity & IT Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
naveriussecurity.com ↗	74 match 1 shared topics	Naverius Security — Application & Infrastructure Security	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
artofcyberwar.com.au ↗	73 match 1 shared topics	Cyber Security Critical Infrastructure Act Australia	AU en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cybershieldglobal.tech ↗	73 match 1 shared topics	CyberShield \| Enterprise Security Expert	en	information-and-network-security	robotsllmsaihumans	emailphone	none
syntric-solutions.com ↗	73 match 1 shared topics	Syntric — Secure Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
decentralisedwallet.org ↗	73 match 1 shared topics	dewa - Secure Digital Identity Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
swidch.com ↗	72 match 1 shared topics	OT Access Security for Critical Infrastructure \| swIDch	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
syncdog.com ↗	72 match 1 shared topics	Enterprise Security - SyncDog	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
networksunlimited.co.uk ↗	72 match 1 shared topics	NU :: Enterprise Security \| Infrastructure Performance Management \| IT Service Management :: Data Forensics	GB en	information-and-network-security	robotsllmsaihumans	emailphone	none
networks-unlimited.co.uk ↗	72 match 1 shared topics	NU :: Enterprise Security \| Infrastructure Performance Management \| IT Service Management :: Data Forensics	GB en	information-and-network-security	robotsllmsaihumans	emailphone	none
dentity.com ↗	72 match 1 shared topics	Dentity \| Identity infrastructure for people, enterprises, and agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
joindentity.com ↗	72 match 1 shared topics	Dentity \| Identity infrastructure for people, enterprises, and agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
navsatech.dev ↗	72 match 1 shared topics	Navsatech Labs — Security & Infrastructure Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
deploysec.com ↗	71 match 1 shared topics	DeploySec — Security Infrastructure Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
developed-technology.com ↗	71 match 1 shared topics	Developed Technology \| Electronic Security & Critical Infrastructure Solutions	en	information-and-network-security	robotsllmsaihumans	email phone	none
havnid.com ↗	71 match 1 shared topics	HAVN — Digital Identity Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hawkfireprotection.com ↗	71 match 1 shared topics	Hawk Fire Protection \| Critical Infrastructure Security Systems	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.