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NegevSecure - Enterprise Security Platform — 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
cssecure.net ↗	77 match 1 shared topics	CS SECURE LIMITED — Enterprise Cybersecurity Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
avarop.com ↗	74 match 1 shared topics	AVAROP — Enterprise Security Infrastructure Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
pistasecure.com ↗	74 match 1 shared topics	PistaSecure - AI-Powered Cybersecurity Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
femtosec.io ↗	74 match 1 shared topics	Enterprise Risk Management Cybersecurity Platform \| Femto Security	AE~ en	information-and-network-security	robots llmsaihumans	emailphone	none
avstech.app ↗	74 match 1 shared topics	AVS Technology - Enterprise Security Systems Integrators	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
avstech.cloud ↗	74 match 1 shared topics	AVS Technology - Enterprise Security Systems Integrators	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
avstech.com ↗	74 match 1 shared topics	AVS Technology - Enterprise Security Systems Integrators	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
avstech.dev ↗	74 match 1 shared topics	AVS Technology - Enterprise Security Systems Integrators	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
avstech.net ↗	74 match 1 shared topics	AVS Technology - Enterprise Security Systems Integrators	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
faradaysec.com ↗	73 match 1 shared topics	All-in-One Security Platform \| Faraday	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
avertory.com ↗	73 match 1 shared topics	Avertory Limited - Enterprise Cybersecurity Solutions	GB~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
ztasecurity.com ↗	72 match 1 shared topics	ZTA Security - Enterprise Cybersecurity Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0swd.com ↗	72 match 1 shared topics	0swd - Enterprise Cybersecurity Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
havensec.io ↗	72 match 1 shared topics	Haven - Secure Cybersecurity Collaboration Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
zynap.com ↗	72 match 1 shared topics	Preemptive Cybersecurity Platform \| Zynap	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
acium.io ↗	72 match 1 shared topics	Acium - Unified Browser Security Platform	US~ en	information-and-network-security	robotsllmsaihumans	email phone	none
zpoa.com ↗	72 match 1 shared topics	Unified Cybersecurity Platform \| Z Shield	US~ en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
axorlabs.com ↗	71 match 1 shared topics	Axorlabs - Enterprise Cybersecurity Solutions	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.