Deep Video Guard

Enterprise AI Deepfake Video Detection & Multi-Modal Forensic Analysis Platform featuring 8 ensemble AI modules and Vision-Language Models (VLM) for court-admissible verdicts.

Request a demo Request technical documentation

Live Product Walkthrough

Ensemble AI Engine

Deliverables: Annotated H.264 Diagnostic Video Stream & Court-Admissible PDF Audit Reports

Multimodal VLM Engine (30% weight - Scene & physics reasoning)

3D Temporal Motion Tracking & Dense Optical Flow (15% weight)

Discrete Cosine Transform (DCT) 2D Frequency Spectra (14% weight)

Vision Transformer (ViT) Spatial Patch Attention (12% weight)

Corneal Specular Reflection & Physics Geometry (10% weight)

Concurrent neural detection modules running in parallel GPU workers: 8
Concurrent neural detection modules running in parallel GPU workers
Multimodal Vision-Language Model (VLM) consensus weight: 30%
Multimodal Vision-Language Model (VLM) consensus weight
GPU-accelerated stream inference & job processing queue: Real-Time
GPU-accelerated stream inference & job processing queue
Cryptographic hash verification on court-admissible audit reports: SHA-256
Cryptographic hash verification on court-admissible audit reports

8-Module Ensemble Architecture

Multi-modal forensic detection pipeline

Parallel multi-modal execution across GPU workers combining Vision-Language Models, 3D temporal tracking, frequency domain analysis, and vision transformers into a weighted consensus verdict.

Forensic Evidence Verdict
Definitive weighted verdict with SHA-256 cryptographic proof and human-readable reasoning trace.
- Verdict (Authentic / Manipulated)
- Cryptographic Hash
- PDF Audit Report
Ensemble Scoring & Weighting Engine
Dynamic consensus weighting applies module reliability metrics to compile the final decision score.
- VLM Engine (30%)
- Temporal Flow (15%)
- DCT Frequency (14%)
- ViT Artifacts (12%)
- Physics & Optics (10%)
- Lip-Sync Alignment (8%)
- CLIP Zero-Shot (6%)
- GAN Fingerprint (5%)
Pre-trained Backbones & Feature Extractors
Specialized neural models extracting visemes, facial landmarks, frequency spectra, and audio speech representations.
- Facenet PyTorch
- Geometric Optics (68 Landmarks)
- Wav2Vec 2.0 Audio Speech
- Hybrid GAN Fingerprint CNN

Stateless processing pipeline. Input media and keyframe representations are processed asynchronously in memory without persistent raw data retention.

System Design

Distributed pipeline & security controls

Built on a decoupled, asynchronous stack designed for enterprise scalability, high throughput, and zero-trust security compliance.

React & FastAPI Gateway

Vite Client · FastAPI Service · JWT Authentication

IDOR Protection: Strict user-ownership validation on all forensic jobs and static file delivery
Zero-Trust Authentication: Mandatory Email OTP verification, Bcrypt password hashing, and stateless JWT sessions
Secure Media Delivery: Public static access is strictly disabled; media access requires bearer tokens
Application Hardening: Enforced HTTP security headers including HSTS, CSP, and API rate limiting

Asynchronous Message Broker & Job Queue

Celery / Redis Broker · PostgreSQL State Store

Real-time job queuing with live per-module progress indicators and low-latency notifications
Asynchronous video chunking and keyframe extraction pipeline
Relational database storage for forensic job states, parameters, and audit trails
Automated retry mechanisms with exponential backoff for GPU worker nodes

8-Module AI Inference Worker Pool

PyTorch · CUDA · Vision Transformers · Wav2Vec 2.0

Parallel multi-modal execution across distributed GPU inference nodes
Multimodal VLM spatial-temporal attention scoring and semantic anomaly validation
Dense optical flow calculations detecting micro-jitter and boundary warping
Discrete Cosine Transform (DCT) 2D frequency spectra analysis for GAN fingerprints

Forensic Evidence & PDF Generation Engine

ReportLab / PDF Engine · Matplotlib Diagnostic Overlay

Renders side-by-side diagnostic videos with frame-synchronized score overlays
Generates court-admissible PDF reports with cryptographic SHA-256 hashes
Includes module weight breakdown, confidence metrics, and complete parameter logs
Standardized evidence deliverables ready for legal presentation and compliance audits

DeepVideoGuard guarantees complete evidentiary integrity with zero raw frame retention outside job execution windows.

Technical Comparison

DeepVideoGuard vs Single-Model Detectors

Why single-model or naive classifiers fail against modern generative AI threats.

Dimension	Single-Model Detectors	DeepVideoGuard 8-Module Engine
Detection Coverage	Evaluates 1 signal (e.g. face-swap boundary only); easily bypassed	8 concurrent modules covering VLM, frequency, optical flow, optics & audio
Generative AI Resistance	Fails on modern StyleGAN-4, Sora, or custom VLM-based deepfakes	Multimodal VLM (30% weight) performs semantic & physical scene validation
Evidentiary Deliverables	Returns a simple 0–1 probability score without explanation	Court-admissible PDF audit report with SHA-256 hash & annotated video stream
Security & Compliance	Unprotected public APIs with weak tenant isolation	Zero-trust auth, IDOR protection, bearer token security & HSTS hardening

Forensic Standard

Built for court-admissible digital evidence

Four reasons why legal teams, law enforcement, and security operations trust DeepVideoGuard for critical video verification.

Multimodal VLM reasoning: Integrates high-capacity Vision-Language Models to analyze keyframe sequences alongside audio for semantic continuity and physical scene validation.
Dynamic weighted consensus: Applies dynamic consensus weighting based on historical reliability and specificity of each module, avoiding single-point false positives.
Cryptographic SHA-256 evidence sealing: Generates standardized PDF reports signed with cryptographic hashes to ensure chain of custody for court proceedings.
Side-by-side diagnostic visualization: Outputs annotated videos with synchronized Matplotlib sidebars showing frame-by-frame per-module confidence metrics.

The rest of the line

Verify video evidence with 8-module ensemble intelligence.

Schedule a technical demonstration to run your video footage through our Multimodal VLM and forensic analysis engine.

Request a demo Talk to sales