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MINE2 - Cyber Deception & Threat Detection 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
oxusguard.com ↗	73 match 1 shared topics	OxusGuard - Cyber Threat Intelligence Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberseer.co.uk ↗	72 match 1 shared topics	Cyberseer - Advanced Threat Detection Solutions and Service	GB en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
tristarnex.com ↗	71 match 1 shared topics	Cybersecurity Services & Threat Detection \| Tristarnex	en	information-and-network-security	robots llmsaihumans	emailphone	none
abyssguard.com ↗	71 match 1 shared topics	AbyssGuard \| Website Protection API & Threat Detection	en	information-and-network-security PrestaShop	robotsllmsaihumans	emailphone	none
ice-hda.com ↗	71 match 1 shared topics	IT & OT Cybersecurity, Threat Detection & SCADA Monitoring \| iCE HDA	ZA~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
gcssystems.co.uk ↗	71 match 1 shared topics	Gcssystems \| Cyber Security Services UK \| Threat Detection & Response	GB en	information-and-network-security WordPress	robots llmsaihumans	email phone	none
claw-guard.ai ↗	70 match 1 shared topics	ClawGuard \| AI-Native Threat Detection & Response	en	information-and-network-security	robotsllmsaihumans	emailphone	none
miru-labs.com ↗	70 match 1 shared topics	Miru Labs \| Insider Threat Prevention Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
fercy.net ↗	70 match 1 shared topics	FIRCY Sense \| Cyber Deception, Active Defence, and Early Warning	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
fercy.org ↗	70 match 1 shared topics	FIRCY Sense \| Cyber Deception, Active Defence, and Early Warning	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
stopcyberincidents.com ↗	70 match 1 shared topics	FIRCY Sense \| Cyber Deception, Active Defence, and Early Warning	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
trapwire.com ↗	70 match 1 shared topics	TrapWire \| Threat Detection and Protective Intelligence	en	information-and-network-security WordPress	robots llmsaihumans	email phone	none
kustodyan.com ↗	70 match 1 shared topics	Kustodyan - Data Protection Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
tritanium.ai ↗	70 match 1 shared topics	Tritanium.ai — Cyber Attack Prevention Platform for the AI Era	AU~ en	information-and-network-security	robots llmsaihumans	emailphone	none
acalvio.ai ↗	70 match 1 shared topics	Acalvio \| Cyber Deception Technology for Preemptive Cybersecurity	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
acalvio.com ↗	70 match 1 shared topics	Acalvio \| Cyber Deception Technology for Preemptive Cybersecurity	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
aegis-mind.tech ↗	69 match 1 shared topics	AegisMind - Cybersecurity Operations Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0tracelabs.com ↗	69 match 1 shared topics	0TraceLabs - Complete Privacy Protection Platform	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.