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alphaMountain.ai | URL Classification & IP Reputation — 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
proxysentry.io ↗	69 match 1 shared topics	ProxySentry - Advanced Proxy Detection & IP Reputation	en	information-and-network-security Aimeos	robotsllmsaihumans	emailphone	none
proxyipchecker.com ↗	66 match 1 shared topics	Proxy IP Checker \| Understanding Proxy Detection & IP Verification	en	information-and-network-security	robotsllmsaihumans	emailphone	none
atriva.net ↗	65 match 1 shared topics	ATRIVA \| Professional Security Evaluation & Certification	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
auditsign.net ↗	65 match 1 shared topics	Digital Signature Verification & Trust Validation \| AuditSignPro	en	information-and-network-security	robotsllmsaihumans	emailphone	none
auditsignpro.com ↗	65 match 1 shared topics	Digital Signature Verification & Trust Validation \| AuditSignPro	en	information-and-network-security	robotsllmsaihumans	emailphone	none
myictmm.com ↗	65 match 1 shared topics	ID verification via face recognition & liveness detection	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
interdcs.com ↗	65 match 1 shared topics	ID verification via face recognition & liveness detection	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
athenty.com ↗	65 match 1 shared topics	Athenty — Identity Verification & KYC Compliance	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
athentification.com ↗	65 match 1 shared topics	Athenty — Identity Verification & KYC Compliance	en	information-and-network-security	robotsllmsaihumans	emailphone	none
athentication.com ↗	65 match 1 shared topics	Athenty — Identity Verification & KYC Compliance	en	information-and-network-security	robotsllmsaihumans	emailphone	none
athenticating.com ↗	65 match 1 shared topics	Athenty — Identity Verification & KYC Compliance	en	information-and-network-security	robotsllmsaihumans	emailphone	none
athentee.com ↗	65 match 1 shared topics	Athenty — Identity Verification & KYC Compliance	en	information-and-network-security	robotsllmsaihumans	emailphone	none
athentea.com ↗	65 match 1 shared topics	Athenty — Identity Verification & KYC Compliance	en	information-and-network-security	robotsllmsaihumans	emailphone	none
necsweb.com ↗	65 match 1 shared topics	NECS – Secure Identification Solutions	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
nedapidentificationsolutions.com ↗	64 match 1 shared topics	Nedap Identification	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
nassaucountyny.gov ↗	64 match 1 shared topics	Firewall Notification	en	information-and-network-security	robotsllmsaihumans	emailphone	none
provlyn.com ↗	64 match 1 shared topics	Provlyn — Blockchain Proof of Creation & IP Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hypr.com ↗	64 match 1 shared topics	HYPR: Identity Verification & Passwordless Authentication for Identity Assurance	United States~ en	information-and-network-security HubSpot	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.