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CPA providing IT-Audit-& Information Security Management|Joel LanzHome — 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
joellanzcpa.com ↗	100 match 1 shared topics	CPA providing IT-Audit-& Information Security Management\|Joel LanzHome	en	information-and-network-security	robotsllmsaihumans	email phone	none
csrmc.org ↗	73 match 1 shared topics	BAI Information Security: Risk Management Framework Training	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
cybersolve.uk ↗	72 match 1 shared topics	Information Security and Data Protection from Cybersolve	GB en	information-and-network-security	robotsllmsaihumans	emailphone	none
cstl.com ↗	72 match 1 shared topics	CST \| Cyber Security & Information Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
pivotgroupsecurity.net ↗	72 match 1 shared topics	Pivot Group :: Information Security :: Home ::	en	information-and-network-security	robotsllmsaihumans	emailphone	none
pivotgroupsecurity.com ↗	72 match 1 shared topics	Pivot Group :: Information Security :: Home ::	en	information-and-network-security	robotsllmsaihumans	emailphone	none
pivotgroup.com ↗	72 match 1 shared topics	Pivot Group :: Information Security :: Home ::	en	information-and-network-security	robotsllmsaihumans	emailphone	none
4tifytech.com ↗	72 match 1 shared topics	4tify Technologies \| Information Security Consulting	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cyberscale.co.uk ↗	72 match 1 shared topics	Cybersecurity - CyberScale - Cyber & Information Security Specialists	GB en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
security-management-systems.co.uk ↗	72 match 1 shared topics	Security Mananagement Systems	GB en	information-and-network-security	robotsllmsaihumans	emailphone	none
sybha.com ↗	72 match 1 shared topics	Sybha \| Information Security for SMEs	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersecurity.run ↗	71 match 1 shared topics	Tools & Information \| Cyber Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
barracudacommunications.com ↗	71 match 1 shared topics	Barracuda Communications \| Industry-Leading IT & Information Security Services	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
cyb4x.com ↗	71 match 1 shared topics	Cyb4X - One of the best Information Security Risk Management company	en	information-and-network-security	robotsllmsaihumans	emailphone	none
synclature.com ↗	71 match 1 shared topics	Synclature — Cybersecurity & Information Security Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cintainfinita.com.ar ↗	71 match 1 shared topics	Cinta Infinita \| Information Security	AR en	information-and-network-security	robotsllmsaihumans	emailphone	none
achsol.com ↗	71 match 1 shared topics	Information Security \| ACH Solutions \| Bengaluru	en	information-and-network-security Wix	robots llmsaihumans	emailphone	none
securityalchemy.co.uk ↗	71 match 1 shared topics	Security Alchemy - Information Security Specialists	GB 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.