Average Ratings 0 Ratings
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
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
Facebook
Yes
Instagram
Yes
Reddit
Yes
TikTok
Yes
X (Twitter)
Yes
YouTube
Yes
Integrations
Facebook
No
Instagram
No
Reddit
No
TikTok
No
X (Twitter)
No
YouTube
No
Pricing Details
$49/user/month
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
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/