Incode Deepsight is said to offer a multi-layered structure: • Perception Layer - Using a world-class, multi-modal AI that examines thousands of data points across multiple frames, motion, and depth data to detect deepfakes and physical spoofs in the captured selfie. It also protects ID captures from AI-generated content by running its own proprietary machine-learning model that was trained on thousands of AI-generated ID cards. As a result, Deepsight is able to accurately detect >99.99% of deepfakes and synthetic ID images. • Behavioral Layer - Deepsight monitors user behavior to identify fraudulent patterns and ensure authentic interactions. This includes analyzing motion dynamics, detecting suspicious bot-like behavior, and verifying natural user activity. • Integrity Layer – Device - Deepsight detects fraudulent attempts by analyzing device signals. This includes identifying suspicious devices, virtual emulators, and fingerprint anomalies. • Integrity Layer – Camera - Deepsight safeguards camera integrity by identifying fraudulent attempts through analysis of camera interactions. This includes detecting virtual cameras and tampering to ensure live, unaltered video feeds and authenticity.