Skip to content

d4darius/FauxFoeMVP

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

7 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Faux Foe: The Digital Lie Detector

Introduction

Imagine receiving a video call from your CEO. You see their face, you hear their voice, and they urgently ask for a confidential transfer. You do it—only to realize an hour later that you just handed millions of dollars to an AI. We have entered an era where seeing is no longer believing. Human intuition is no longer enough to detect these advanced frauds. We can no longer trust our eyes and ears alone. We need a digital layer of verification.

Faux Foe is here to bridge that gap. It is a real-time analysis engine designed to protect individuals and organizations from the growing threat of deepfake and impersonation frauds.


Who Needs a Digital Lie Detector?

Target Audience Critical Use Case (The "Why")
🏦 Banks & Law Firms Secure Remote Transactions: Disclosing sensitive financial data without fear of interception or impersonation.
🏢 HR & IT Officers Safe Onboarding: Hiring high-level executives remotely without risk of identity fraud.
🏠 Private Individuals Scam Protection: A simple, non-invasive shield against family fraud and video-call scams.

Bottom Line (The Takeaway): We bridge the gap between strict security compliance and the ease of remote communication.


Core Technology

To solve this, we didn't just build another detection tool. Introducing Faux Foe. At its core, Faux Foe is a real-time analysis engine. Whether it is a video conference or a standard phone call, our system analyzes the incoming stream instantly. It looks for artifacts that the human eye misses—glitches in pixel generation, voice synthesis errors, and unnatural micro-expressions.

Key Features

  • Real-Time Detection: Instant analysis of video and audio streams.
  • Non-Invasive User Experience: Seamless integration into existing conference apps via a plugin or Desktop App.
  • Immediate Alerts: Users receive a clear warning pop-up only when a threat is detected.
  • Centralized Threat Dashboard: For IT Security Officers, monitor threat levels across the company in real-time.
  • Deployment Flexibility: On-premise, hybrid, or cloud-based solutions tailored to customer needs.

How to Use Faux Foe

For End Users

  1. Install the Plugin/Desktop App: Download and install Faux Foe from our website.
  2. Integration: Connect Faux Foe to your preferred video conferencing app (e.g., Zoom, Teams, Google Meet).
  3. Automatic Monitoring: Faux Foe runs in the background during your calls.
  4. Threat Alerts: If a threat is detected, a warning pop-up will appear with actionable steps.

For IT Security Teams

  1. Centralized Dashboard Setup: Deploy the centralized dashboard to monitor threats across the organization.
  2. Custom Configuration: Configure deployment options (on-premise, hybrid, or cloud) based on your organization's needs.
  3. Real-Time Alerts: Receive notifications for coordinated attacks targeting multiple employees.

Why Faux Foe?

Differentiative Features

  • Advanced Detection: Faux Foe identifies deepfake artifacts that are invisible to the human eye.
  • Ease of Use: No complex dashboards for end users—just simple, actionable alerts.
  • Custom Deployment: Tailored solutions for banks, law firms, and multinational corporations.

Demo Instructions

To experience Faux Foe in action:

  1. Set Up the Environment:

    • Ensure you have a video conferencing app installed (e.g., Zoom, Teams).
    • Download and install the Faux Foe plugin or Desktop App.
  2. Simulate a Threat:

    • Use the provided demo video files in the video/ folder to simulate a deepfake call.
    • Start a video call and play the demo video as the incoming stream.
  3. Observe the Detection:

    • Faux Foe will analyze the stream in real-time.
    • If a threat is detected, a warning pop-up will appear.
  4. Explore the Dashboard:

    • For IT teams, access the centralized dashboard to view detailed threat reports.

About

MVP demonstration for FauxFoe, a real-time deep-fake detection plugin designed to help corporate users in protecting their data and assets from deep-fake scams.

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

No releases published

Packages

 
 
 

Contributors