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TRAPMINE | Prevent Threats. Detect Unknown. Respond to Attacks. — 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
cyvers.ai ↗	65 match 1 shared topics	Cyvers \| Digital Asset Threat Prevention	en	information-and-network-security	robots llmsaihumans	emailphone	none
mbuster.io ↗	65 match 1 shared topics	MBUSTER｜Bot detector - prevent scraping	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0secure.com ↗	65 match 1 shared topics	ZeroHack \| cybercrime prevention & response	en	information-and-network-security Wix	robotsllmsaihumans	emailphone	none
epas.ae ↗	65 match 1 shared topics	EPAS: Detect and Prevent Compromised and Weak Passwords	United Arab Emirates en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
brustver.com ↗	65 match 1 shared topics	Advanced Threat Detection	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
flaresystems.ca ↗	65 match 1 shared topics	Cut Off Attacks at the Source \| Threat Intelligence - Flare	Canada en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
flare-data.io ↗	65 match 1 shared topics	Cut Off Attacks at the Source \| Threat Intelligence - Flare	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
flare-drp.com ↗	65 match 1 shared topics	Cut Off Attacks at the Source \| Threat Intelligence - Flare	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
flare-io.com ↗	65 match 1 shared topics	Cut Off Attacks at the Source \| Threat Intelligence - Flare	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
flare.io ↗	65 match 1 shared topics	Cut Off Attacks at the Source \| Threat Intelligence - Flare	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
flaredrp.com ↗	65 match 1 shared topics	Cut Off Attacks at the Source \| Threat Intelligence - Flare	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
flaresystems.io ↗	65 match 1 shared topics	Cut Off Attacks at the Source \| Threat Intelligence - Flare	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
icn3.com ↗	65 match 1 shared topics	Integrated Cyber Nexus — Defend. Detect. Destroy Threats.	en	information-and-network-security	robotsllmsaihumans	email phone	none
centripetal.ai ↗	65 match 1 shared topics	Real-time Threat Prevention \| Centripetal	en	information-and-network-security	robotsllmsaihumans	emailphone	none
trapwire.com ↗	64 match 1 shared topics	TrapWire \| Threat Detection and Protective Intelligence	en	information-and-network-security WordPress	robots llmsaihumans	email phone	none
mdr247.com ↗	64 match 1 shared topics	Managed Detection & Response 24/7	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyber20.com ↗	64 match 1 shared topics	Cyber 2.0 - prevents the spread of cyber-attacks	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ddostest.me ↗	64 match 1 shared topics	Can your team detect and mitigate a DDoS attack?	en	information-and-network-security	robotsllmsaihumans	email phone	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.