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Qber alternatives & similar sites

QBER – Quantified Business Exposure to Risks — 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
myprivacybee.com ↗	67 match 1 shared topics	Protect Your Business Exposure: External Data is Targeted \| Privacy Bee for Business	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
gkesselconsulting.com ↗	67 match 1 shared topics	Kessel Security Analytics – Small Business Cyber Risk & Regulatory Clarity	en	information-and-network-security	robotsllmsaihumans	email phone	none
zyberinsurance.com ↗	66 match 1 shared topics	Cyber Insurance \| Tech E&O \| Business Insurance	en	information-and-network-security Wix	robots llmsaihumans	emailphone	none
nasmok.com ↗	66 match 1 shared topics	Business Cyber Security Services	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
netenrich.tech ↗	66 match 1 shared topics	Netenrich \| Align Security Operations & Business Risk Management	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
netenrich.info ↗	66 match 1 shared topics	Netenrich \| Align Security Operations & Business Risk Management	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
netenrich.biz ↗	66 match 1 shared topics	Netenrich \| Align Security Operations & Business Risk Management	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
24zero.cloud ↗	66 match 1 shared topics	24zero \| Cyber Risk Management	en	information-and-network-security	robotsllmsaihumans	emailphone	none
gibsoncyber.com ↗	66 match 1 shared topics	Gipson Cyber – Proven in Battle. Trusted in Business.	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
gipsoncyber.com ↗	66 match 1 shared topics	Gipson Cyber – Proven in Battle. Trusted in Business.	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
mysensaria.com ↗	66 match 1 shared topics	Why Cyber Security Is the Future of Business in Australia \| My Sensaria	Australia~ en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 1
abundant.security ↗	66 match 1 shared topics	Abundant: Exposure Remediation	en	information-and-network-security	robotsllmsaihumans	emailphone	none
myptg.com ↗	66 match 1 shared topics	Trust Nivo 5: Secure Your Small Business from Cyber Threats	en	information-and-network-security	robotsllmsaihumans	emailphone	none
freesmbsat.com ↗	66 match 1 shared topics	Free Small Business Security Training	en	information-and-network-security WordPress Lightspeed	robotsllmsaihumans	emailphone	none
n5compliance.com ↗	66 match 1 shared topics	Trust Nivo 5: Secure Your Small Business from Cyber Threats	en	information-and-network-security	robotsllmsaihumans	emailphone	none
widespectrumtech.net ↗	66 match 1 shared topics	Protecting and Managing Your Business Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
widespectrum.tech ↗	66 match 1 shared topics	Protecting and Managing Your Business Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cst-360.com ↗	66 match 1 shared topics	CST360 \| Leverage your business with Cyber Security	en	information-and-network-security WordPress	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.