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Cipherbit: Cybersecurity Risk Intelligence for Executive Decision-Making — 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
furticore.com ↗	75 match 1 shared topics	Furticore \| Cybersecurity Risk Intelligence Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kurtjohn.com ↗	72 match 1 shared topics	Kurt John - Cybersecurity Executive	en	information-and-network-security	robotsllmsaihumans	emailphone	none
chichacybersecurity.com ↗	72 match 1 shared topics	Chicha Cybersecurity — AI Security Intelligence for the Rest of Us	US~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
fulgursecurity.com ↗	72 match 1 shared topics	Fulgur Security - Cybersecurity and Intelligence Hub	en	information-and-network-security	robotsllmsaihumans	emailphone	none
owlcybersecurity.com ↗	71 match 1 shared topics	Dark Web Threat Intelligence & Darknet Data for Cybersecurity Teams \| DarkOwl	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
hollern.org ↗	71 match 1 shared topics	Jason M. Hollern - Cybersecurity Executive	en	information-and-network-security	robotsllmsaihumans	emailphone	none
securitybrief.co.uk ↗	71 match 1 shared topics	SecurityBrief UK - Technology news for CISOs & cybersecurity decision-makers	GB en	information-and-network-security	robotsllmsaihumans	emailphone	none
4warn.me ↗	71 match 1 shared topics	4WARN.ME – Security Risk Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
traverge.com ↗	70 match 1 shared topics	Traverge \| Tier 1 Cybersecurity for Federal, Defense & Intelligence	en	information-and-network-security	robotsllmsaihumans	email phone	none
securityglobal.uk ↗	70 match 1 shared topics	Security Global Ltd \| Intelligence. Evidence. Precision.	GB en	information-and-network-security	robotsllmsaihumans	email phone	none
mis2online.com ↗	70 match 1 shared topics	Executive Cybersecurity Leadership for Law Firms and Regulated Businesses	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cisabfoundation.org ↗	70 match 1 shared topics	Cyber Intelligence & Security Aid Bureau \| For the Love of Security	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	email phone	none
trebsec.com ↗	70 match 1 shared topics	TrebSec \| Cybersecurity Risk Advisors for Professional Practices	US~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
iciteidentity.com ↗	70 match 1 shared topics	Identity Intelligence Platform for Security Operations	en	information-and-network-security	robotsllmsaihumans	emailphone	none
icitetrust.com ↗	70 match 1 shared topics	Identity Intelligence Platform for Security Operations	en	information-and-network-security	robots llmsaihumans	emailphone	none
icitethreat.com ↗	70 match 1 shared topics	Identity Intelligence Platform for Security Operations	en	information-and-network-security	robotsllmsaihumans	emailphone	none
iciteshield.com ↗	70 match 1 shared topics	Identity Intelligence Platform for Security Operations	en	information-and-network-security	robotsllmsaihumans	emailphone	none
icitesecurity.com ↗	70 match 1 shared topics	Identity Intelligence Platform for Security Operations	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.