Exhibitors

Monitors video and audio streams in real time during live calls or conferences to detect signs of synthetic manipulation, tampering or impersonation - ideal for digital meetings.

Identified tampered or AI-generated images using facial extraction, texture analysis, and forensic image analysis to detect synthetic manipulations.

Detects voice cloning and synthetic speech using voice biometrics, spectral analysis, and AI-based anomaly detection, ensuring audio authenticity.

Analyses frame-level inconsistencies, facial movements, and temporal artifacts to identify manipulated (face-swapped) or AI-generated video content.