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FaceOff Technologies

Deep Meet Guard

Deploy enterprise-grade virtual meeting integrity to analyze audio, verify video authenticity, and monitor participant emotional sentiment in real time during active Teams, Zoom, WebEx, & LiveKit sessions.

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Virtual Meeting Security

Deployment: Independent Stateless Participant — Zero Client Software Required
Teams, Zoom, WebEx, & LiveKit headless bot integration
Video Deepfake & Facial Manipulation Verification
Audio Authenticity & Voice Cloning Detection
Vocal Sentiment & Non-Verbal Cue Monitoring
Sub-second WebSocket Telemetry & Forensic Audit PDFs
Real-time WebSocket telemetry stream & latency analysis

Sub-Second

Real-time WebSocket telemetry stream & latency analysis

Native integration with Teams, Zoom, WebEx & LiveKit SFU

4 Platforms

Native integration with Teams, Zoom, WebEx & LiveKit SFU

Concurrent audio, video, & vocal sentiment inference threads

Multi-Modal

Concurrent audio, video, & vocal sentiment inference threads

Headless bot connects as an independent, stateless participant

0 Client Installation

Headless bot connects as an independent, stateless participant

Meeting Architecture

DeepMeetGuard pipeline data flow

LiveKit SFU / WebRTC media streams are routed through asynchronous audio and video processing threads to deliver live telemetry payloads and tamper-evident audit reports.

  1. 01

    Meeting Ingestion

    Headless bot connects to Teams, Zoom, WebEx, or LiveKit SFU stream.

  2. 02

    Stream Demuxing

    Audio & video packet capture channels split into dedicated threads.

  3. 03

    Multi-Modal Inference

    PyTorch neural models analyze face swaps, voice clones & sentiment cues.

  4. 04

    WebSocket Telemetry

    Django Channels broadcasts JSON analysis ticks to host dashboard.

  5. 05

    Forensic PDF Export

    Compiles tamper-evident session audit reports with participant risk levels.

Zero-installation deployment. Operates as an independent meeting participant without requiring client-side extensions or software downloads.

Technical Specifications

Real-time virtual meeting security infrastructure

Engineered for enterprise meeting privacy, executive protection, and compliance auditing.

WebRTC & LiveKit SFU Media Layer

LiveKit SFU · WebRTC · H.264 / AAC Demuxing

  • Utilizes LiveKit's Selective Forwarding Unit (SFU) for low-overhead audio/video routing
  • Continuous packet capture for frame-by-frame facial analysis and audio spectrograms
  • Headless bot joins virtual rooms seamlessly without installing client software
  • Supports multi-participant conferencing with granular stream isolation

Django ASGI & Channels Telemetry Backend

Django Channels · Redis Pub/Sub · WebSockets (WSS)

  • Backend powered by Django REST Framework and ASGI Channels for real-time broadcasting
  • Broadcasts structured JSON telemetry payloads with sub-second latency
  • Logs every analysis tick synchronously, mapping participant IDs to risk levels
  • Live host dashboard interface for active room security monitoring

Multi-Modal AI Inference Pipeline

PyTorch · Spectrogram Analysis · Vocal Sentiment Neural Net

  • Video Deepfake Engine: Frame-by-frame neural analysis detecting facial manipulation
  • Audio Authenticity Engine: Detects voice cloning & synthetic AI generation via spectrographic cues
  • Vocal Sentiment Engine: Evaluates speech patterns & non-verbal cues for emotional state tracking
  • Concurrent multi-threaded processing ensures zero meeting audio/video lag

Automated Forensic Session Auditing

Tamper-Evident PDF · JSON Session Logs · Metadata Signing

  • Compiles tamper-evident PDF reports after meeting completion
  • Details session metadata, analyzed clip segments, timestamps & risk scores per participant
  • Auditable JSON event logs for corporate security operations centers (SOC)
  • GDPR and SOC 2 compliant stateless data handling

DeepMeetGuard functions as an independent, stateless participant in virtual conference rooms with sub-second WebSocket telemetry.

Sector Use Cases

Enterprise Virtual Meeting Deployment Scenarios

Tailored security configurations for high-risk virtual meeting environments.

Sector / ScenarioPrimary Threat VectorDeepMeetGuard Defense
Executive & Boardroom MeetingsCEO voice cloning, deepfake video impersonation during financial approvals & M&AReal-time AI voice & face-swap detection with instant host telemetry alerts
Remote Hiring & Interview ScreeningSynthetic AI avatars, proxy candidates, & deepfake identity fraud during interviewsLive video deepfake verification & sentiment consistency logging per candidate
Healthcare & TelemedicineUnverified remote participants & identity spoofing during medical consultationsBiometric stream verification with automated tamper-evident session PDF reports
Legal Depositions & Virtual CourtroomsWitness impersonation & tampered audio/video evidence during virtual hearingsCourt-admissible session audit reports with timestamped risk scoring per speaker

Enterprise Value

Why security teams choose DeepMeetGuard

Four pillars of real-time virtual conference security.

Zero client-side installation
Joins as a headless bot participant on Microsoft Teams, Zoom, WebEx, & LiveKit without requiring employees or external guests to download software.
Concurrent audio, video & sentiment AI
Processes video frames, audio spectrograms, and vocal sentiment in parallel threads for comprehensive session protection.
Sub-second WebSocket telemetry
Delivers live security insights directly to the host's dashboard via low-latency WebSocket payloads.
Tamper-evident session audit reports
Automatically compiles certified PDF reports with participant risk scores and timestamped evidence traces for corporate compliance.

The rest of the line

More in Synthetic Media Guard

Secure your virtual meetings against deepfakes.

Schedule a live technical demonstration of DeepMeetGuard across Microsoft Teams, Zoom, or WebEx.

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