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What is DeepWall?

DeepWall is an AI-powered deepfake monitoring and digital identity protection platform designed to help organizations, executives, creators, and public figures detect unauthorized impersonation across the web. The platform continuously scans YouTube, X, TikTok, Facebook, Instagram, Reddit, and news sites for videos that may misuse a protected person’s face, voice, or likeness. Users begin by enrolling a biometric profile with several photos and a short voice sample, which DeepWall converts into facial embeddings and a unique voiceprint for ongoing monitoring. Its detection engine analyzes newly uploaded content using frame-by-frame facial recognition, voice biometric matching, confidence scoring, and AI deepfake analysis. DeepWall is built to identify threats created with techniques such as face swapping, voice cloning, synthetic avatars, and manipulated video generation. When a suspicious match appears, the Canary Alert System sends notifications through email, SMS, Slack, in-app alerts, or webhooks so teams can respond quickly. Organizations can adjust detection thresholds, manage alert severity, whitelist legitimate content, and choose immediate, hourly, or daily digest options. The platform also includes an Evidence Package Generator that creates timestamped PDF reports with source URLs, confidence scores, screenshots, audio analysis, and takedown templates. Enterprise accounts can monitor multiple executives or public-facing individuals from one dashboard while routing alerts to legal, PR, security, or executive teams. DeepWall emphasizes privacy and security with AES-256 encryption, TLS 1.3, GDPR compliance, CCPA compliance, role-based access controls, and the ability to delete biometric data. By combining always-on platform monitoring, deepfake detection, biometric matching, and response-ready documentation, DeepWall helps protect reputations before AI impersonation causes lasting damage.

What is DeepFake-o-meter?

An innovative platform equipped with state-of-the-art techniques for identifying deepfakes is now accessible for public use. Users have the capability to upload one video file from their computer at a time. Deepfakes refer to AI-generated altered media that can create deceptive portrayals of individuals and their behaviors, which can lead to serious consequences if exploited. The DeepFake-o-meter, developed by the UB Media Forensics Lab, is an open-source solution aimed at detecting deepfake technologies produced by external sources. It provides an intuitive service that analyzes deepfake content utilizing various sophisticated detection methods, ensuring that results are generated securely and confidentially. In addition, it includes an API framework that allows developers to incorporate their deepfake detection algorithms and run them on a remote server. This platform not only supports developers but also acts as a crucial resource for researchers in the field of digital media forensics, allowing them to evaluate and compare the effectiveness of different detection algorithms. By fostering collaboration and innovation, this comprehensive approach significantly strengthens efforts against the irresponsible use of deepfake technology. As a result, it contributes to a safer digital environment where misinformation can be effectively challenged.

Media

No images available

Media

Integrations Supported

Facebook
Instagram
Reddit
TikTok
X (Twitter)
YouTube

Integrations Supported

Facebook
Instagram
Reddit
TikTok
X (Twitter)
YouTube

API Availability

Has API

API Availability

Has API

Pricing Information

$49/user/month
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

DeepWall

Date Founded

2026

Company Location

United States

Company Website

www.deepwall.io

Company Facts

Organization Name

UB Media Forensics Lab

Date Founded

2020

Company Location

United States

Company Website

zinc.cse.buffalo.edu/ubmdfl/deep-o-meter/

Categories and Features

Categories and Features

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