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LastingAsset | Identity Verification & Anti-Fraud Technology — 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
idchecker.com ↗	74 match 1 shared topics	Identity Verification - Mitek	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
kyciraq.com ↗	74 match 1 shared topics	KYC IRAQ \| Identity Verification & KYC Services in Iraq	IQ~ en	information-and-network-security	robotsllmsaihumans	email phone	none
triotask.com ↗	73 match 1 shared topics	Triotask — Identity Verification & Compliance Technology	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
idvaulttech.com ↗	73 match 1 shared topics	Identity Verification With ID Vault Tech \| ID Vault Tech	en	information-and-network-security	robotsllmsaihumans	emailphone	none
id3technologies.com ↗	72 match 1 shared topics	id3 Technologies – Secure Identity & Document Verification	France~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
idvform.com ↗	72 match 1 shared topics	Athenty — Identity Verification & KYC Compliance	en	information-and-network-security	robotsllmsaihumans	emailphone	none
helpdeskhacks.org ↗	72 match 1 shared topics	Nametag: Identity Verification & Account Protection Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
helpdeskhacks.com ↗	72 match 1 shared topics	Nametag: Identity Verification & Account Protection Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
helpdeskhackers.com ↗	72 match 1 shared topics	Nametag: Identity Verification & Account Protection Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
helpdeskhack.com ↗	72 match 1 shared topics	Nametag: Identity Verification & Account Protection Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
idrabbit.com ↗	72 match 1 shared topics	idrabbit \| Next-Gen Identity Verification	en	information-and-network-security	robotsllmsaihumans	emailphone	none
idaxis.com ↗	72 match 1 shared topics	Identity Verification Readers \| Idaxis	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
idverix.com ↗	72 match 1 shared topics	ID Verifx — Identity Verification On-Chain	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kycware.com ↗	72 match 1 shared topics	KYC Compliance \| Identity Verification \| AML Screening \|	en	information-and-network-security	robotsllmsaihumans	emailphone	none
triplevalidate.com ↗	71 match 1 shared topics	TripleValidate - Identity Verification \| TripleCyber \| TripleCyber	United States~ en	information-and-network-security	robotsllmsaihumans	email phone	none
accountinify.com ↗	71 match 1 shared topics	QRYall - Identity, Verification & Ownership Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
identitytechnologist.com ↗	71 match 1 shared topics	The Identity Technologist — Independent Vendor Intelligence for Identity Verification, Fraud & Compliance	en	information-and-network-security	robots llmsaihumans	emailphone	none
kycbox.ai ↗	71 match 1 shared topics	KYCBox — Identity Verification & KYC Automation for India	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.