Deepfake Detection
Tech Stack
Experience a frictionless and user-friendly interface designed for everyone. Simply drag and drop your files and get a deepfake media verification within seconds. Our advanced system uses a multilayer approach, examining pixels, file structures, and voice patterns to deliver the most comprehensive assessment effortlessly.
AI Face Manipulation Detection
Facial Forgery Detection
Our 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 Video and Image detection
Thousands of AI-Generated videos and images are flooding on social media on a daily basis with the goal to deceive, discredit and influence. Sensity 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 that synthesize entirely new identities rather than manipulating an existing person. To detect these synthetic faces, Sensity 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
Our File Forensic Analysis solution provides a comprehensive method to verify authenticity, and tracing 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
Our Deepfake Voice Detection Solution leverages advanced acoustic analysis, voiceprint verification, and AI anomaly detection to identify synthetic speech and manipulated audio. By examining formant frequencies, pitch contours, spectral features, and speech consistency, our system differentiates between genuine human voices and AI-generated forgeries. Using state-of-the-art deep learning models, it detects voice cloning, text-to-speech synthesis, and manipulated recordings with high precision.
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
Built for your use case
Enterprise ready
