Deepfake Detection:
How Does it Work?

The Sensity AI Deepfake Detection tech stack uses a multilayer approach, examining pixels, file structures, and voice patterns to deliver the most comprehensive forensic assessment, backed up by court-ready reporting.

AI Face Manipulation Detection

Face Manipulation Check

Suspicious

Confidence

89.0%

Manipulation Type

Face Swap

Facial Forgery Detection

Sensity AI’s face manipulation detection solution provides fast and accurate identification of facial forgeries in videos and images. Leveraging deep learning, the system analyzes content frame-by-frame, detecting altered faces with a binary verdict, confidence score, and manipulation type. Detected manipulations are highlighted with dynamic bounding boxes, allowing clear visual labeling.

Frame-by-Frame Face Forgery Labeling

Pixel-Level Manipulation Heatmaps

AI Video and Image Detection

AI Generated Content Check

Suspicious

Confidence

99.0%

Model Generator

Flux

AI Video and Image detection

Hundreds of thousands of malicious AI-generated videos and images are flooding social media networks on a daily basis, with the goal to deceive, discredit and influence. Sensity AI Deepfake Detection returns results in seconds with forensic-grade explanations.

Explainability Heatmap for Forensic Insight

Segment-Based Visual Explainability

GAN Detection

Precision Landmark Mapping for GAN Exposure

GAN-generated faces are created by deep generative models (Generative Adversarial Networks) that synthesize entirely new identities rather than manipulating an existing person. To detect these synthetic faces, Sensity AI analyzes statistical and structural artifacts that emerge during the generative process: inconsistencies in global symmetry, irregular frequency patterns, anomalous texture transitions, and mismatches between biological facial geometry and GAN-learned priors.

File Forensic Analysis

Media Integrity Verification

Sensity AI’s File Forensic Analysis solution provides a comprehensive method to verify authenticity, and trace the origin of digital media files. By analyzing metadata, structural consistency, file generation history, and modification traces, our system uncovers anomalies that indicate editing, tampering, or AI-generated content.

File Generation History Tracking

File Integrity Anomaly Detection

Voice Analysis

Deepfake Voice Detection

Sensity AI’s Deepfake Voice Detection Solution leverages advanced acoustic analysis, voiceprint verification, and AI anomaly detection to identify synthetic speech and manipulated audio.

Acoustic Analysis for Voice Integrity

On-premise options

Our solution can be deployed in three flexible configurations: a server setup for high-volume, on-premise processing using dedicated NVIDIA GPUs; a workstation setup optimized for investigators who need fast local analysis on a single high-performance machine; and a USB dongle option that provides secure, portable activation for field teams or air-gapped environments. Each deployment model delivers the same multilayer detection capabilities while meeting different operational, security, and scalability requirements.

Server setup

Workstation setup

Forensic-grade deepfake detection

Built for your use case

Corporate

Sensity AI strengthens both video-call security and KYC workflows by validating the authenticity of faces, voices, and media in real time ensuring that every interaction is conducted with a verified human and not an AI-generated impostor.

Government

Sensity AI enables government and judicial authorities to verify the authenticity of digital evidence by detecting deepfakes and synthetic media across images, videos, and audio. Our multilayer forensic analysis generates court-ready reports.

How is Deepfake Detection Changing Forensic Analysis?

We’ve now entered an era where seeing is no longer believing. Gen-AI didn’t just create new content; it created a brand new attack surface: reality itself. Now, when it comes to deepfake detection, the nature of forensic analysis is turned on its head, and intelligence agencies, law enforcement, and judicial authorities are feeling the pain. This guide is a primer on deepfake detection and synthetic media for law enforcement professionals and forensic analysts.