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Voiceproof alternatives & similar sites

VoiceProof AI - Secure Your Voice Identity from Cloning & Deepfakes — 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
voiceprotector.com ↗	74 match 2 shared topics	VoiceProtector - AI Voice Scam Protection & Deepfake Detection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
voiceguard.ai ↗	72 match 2 shared topics	VoiceGuardAI - AI Voice Scam Detection & Protection \| Identify Deepfake Voicemails	en	information-and-network-security	robotsllmsaihumans	emailphone	none
voxtech.io ↗	68 match 2 shared topics	VOX - Voice AI Security Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
voicecert.com ↗	68 match 2 shared topics	VoiceCert — Certify & Trademark Your Voice Identity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
voxmind.ai ↗	68 match 2 shared topics	Voxmind - Deepfake-Resistant Voice Biometrics	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
downtime.dev ↗	67 match 2 shared topics	Teleport: Unified Identity Securing Classic & AI Infrastructure \| Teleport	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
astracipher.com ↗	66 match 2 shared topics	AstraCipher — Identity for the Age of AI Agents	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8
1pw.ai ↗	66 match 2 shared topics	1PW.AI \| Enterprise Password Security & Bitcoin Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
1bigthink.com ↗	66 match 2 shared topics	1bigthink \| Secure Your Compliance Today	United States~ en	artificial-intelligence Squarespace Magento	robotsllmsaihumans	emailphone	none
astrix.security ↗	66 match 2 shared topics	Identity Security for AI Agents & NHIs \| Astrix Security	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
authenticitycrisis.net ↗	66 match 2 shared topics	Authenticity Crisis \| Deepfakes, Synthetic Media, Fraud & Trust	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
authenticitycrisis.org ↗	66 match 2 shared topics	Authenticity Crisis \| Deepfakes, Synthetic Media, Fraud & Trust	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
vouchedsolutions.com ↗	66 match 2 shared topics	Vouched \| Digital Identity Verification	en	artificial-intelligence HubSpot	robotsllmsaihumans	emailphone	partial · 8
vouchedsystem.com ↗	66 match 2 shared topics	Vouched \| Digital Identity Verification	en	artificial-intelligence HubSpot	robotsllmsaihumans	emailphone	partial · 8
vouchedscan.com ↗	66 match 2 shared topics	Vouched \| Digital Identity Verification	en	artificial-intelligence HubSpot	robotsllmsaihumans	emailphone	none
vouchedpro.com ↗	66 match 2 shared topics	Vouched \| Digital Identity Verification	en	artificial-intelligence HubSpot	robotsllmsaihumans	emailphone	partial · 8
vouchedportal.com ↗	66 match 2 shared topics	Vouched \| Digital Identity Verification	en	artificial-intelligence HubSpot	robotsllmsaihumans	emailphone	none
vouchedpath.com ↗	66 match 2 shared topics	Vouched \| Digital Identity Verification	en	artificial-intelligence 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.