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Average Ratings 0 Ratings
Description
DeepWall is a cybersecurity and identity protection platform built to detect deepfakes, synthetic voices, and manipulated media that target executives, brands, public figures, and creators. The system continuously monitors major platforms such as YouTube, X, TikTok, Facebook, Instagram, Reddit, and news sites for unauthorized uses of a person’s face or voice. Users create a biometric profile by submitting several photos and a short voice recording, allowing DeepWall to generate facial embeddings and a voiceprint for ongoing comparison. Its AI detection engine analyzes videos frame by frame and evaluates audio tracks to identify possible face swaps, voice clones, and other AI-generated impersonations. When suspicious content exceeds a chosen confidence threshold, the Canary Alert System sends fast notifications through email, SMS, Slack, push alerts, or API webhooks. DeepWall includes evidence export tools that generate timestamped reports with video links, screenshots, confidence scores, and audio analysis for legal or platform takedown use. Enterprise teams can monitor multiple executives, route alerts to legal or PR teams, assign threats, and manage access through role-based permissions. The platform is designed with AES-256 encryption, TLS 1.3, GDPR compliance, CCPA compliance, and user-controlled biometric deletion. By combining real-time monitoring, AI-powered detection, and response-ready evidence, DeepWall helps organizations act before impersonation threats spread.
Description
Voice biometrics leverages the distinct vocal traits of an individual, such as pitch, tone, and speech rhythm, for identification, similar to how other biometric methods utilize digital fingerprints or iris scans. This technology offers significant business and operational advantages by allowing authenticating speakers across various remote platforms, which enhances convenience, efficiency, and security. One key benefit is its independence from advanced devices; it can function effectively on simple feature phones, IVR systems, or even traditional landlines. The rise in fraudulent activities, particularly account impersonations where criminals acquire a legitimate user's information to unlawfully access online banking and credit resources, highlights the urgency for such security measures. In fact, Kaspersky Fraud Prevention revealed that in 2020, half of all fraudulent transactions in the financial sector stemmed from account impersonation. In South Africa, the situation is even more alarming, with the South African Fraud Prevention Service (SAFPS) reporting a staggering 337% increase in such incidents, underscoring the critical need for robust protective technologies like voice biometrics. As the landscape of fraud continues to evolve, implementing effective identification methods becomes increasingly essential to safeguard personal and financial information.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Facebook
Instagram
Reddit
TikTok
X (Twitter)
YouTube
Pricing Details
$49/user/month
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
DeepWall
Founded
2026
Country
United States
Website
www.deepwall.io
Vendor Details
Company Name
OneVault
Country
United States
Website
onevault.co.za/voice-biometrics/