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IT Biztonsági Audit, Tanácsadás és NIS2 Védelem – ACPMIT — 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
adlem.net ↗	65 match 1 shared topics	Simon Adlem – Architecture, Security & Governance	en	information-and-network-security	robotsllmsaihumans	emailphone	none
clientsincident.com ↗	64 match 1 shared topics	ClientsIncident \| NIS2 & GDPR Cyber Audit Evidence	en	information-and-network-security	robots llmsaihumans	emailphone	none
rodeion.com ↗	63 match 1 shared topics	Cybersecurity Expert \| Security Audits \| Rodeion	en	information-and-network-security	robotsllmsaihumans	email phone	none
0xweiss.com ↗	63 match 1 shared topics	0xWeiss - Security Researcher & Auditor	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xwalterwhitehat.com ↗	63 match 1 shared topics	0xWalterWhiteHat \| Smart Contract Auditor	en	information-and-network-security	robotsllmsaihumans	emailphone	none
adsoftwaredevelop.site ↗	63 match 1 shared topics	Cybersecurity Services \| AD SOFTWARE DEVELOPMENTS LTD — Audit, Pentest, SOC, Certification	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
0xlabs.ai ↗	63 match 1 shared topics	0xLabs \| Web3 Security Audit Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
cyslam.net ↗	63 match 1 shared topics	Cyslam — Cyber Architecture in Motion	en	information-and-network-security	robotsllmsaihumans	emailphone	none
greenlightcyber.co.uk ↗	63 match 1 shared topics	Cyber Security Auditors In Manchester \| Greenlight Cyber	United Kingdom en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
clear365.app ↗	62 match 1 shared topics	Clear365 — Microsoft 365 Consulting & Security Auditing	Germany~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
fullstackaudits.com ↗	62 match 1 shared topics	Valkyri - Full Stack Audits, Zero Blind Spots	en	information-and-network-security	robotsllmsaihumans	emailphone	none
identitycentricsolutions.com ↗	62 match 1 shared topics	Identity Centric Solutions \| Zero Trust IAM & NIS2/DORA Compliance	en	information-and-network-security	robotsllmsaihumans	emailphone	none
identitysecurityzone.com ↗	62 match 1 shared topics	The real use-cases - IAM, Security & Architecture	en	information-and-network-security Ghost	robotsllmsaihumans	emailphone	none
strikepointsolutions.com ↗	62 match 1 shared topics	Strikepoint Solutions	en	information-and-network-security	robotsllmsaihumans	email phone	partial · 8
baisecurity.net ↗	62 match 1 shared topics	IT Security Assessment & Compliance Audit Firm - BAI Security	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
acfefinland.com ↗	62 match 1 shared topics	ACFE Finland – ACFE Finland	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
bakesecurityin.com ↗	62 match 1 shared topics	Bake Security In – A blog about cybersecurity and baking. After all, application security is best baked in.	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
0xyomi.com ↗	62 match 1 shared topics	0xyomi — Mico Wijaya	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8

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.