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Democratization of generative Artificial Intelligence has triggered a surge in identity spoofing attacks. Deepfakes, video injection, and the creation of synthetic identities are threatening businesses. Adapting biometric security systems to this new reality is a critical challenge.

Our dynamic reconstruction algorithms detect pixel-level alterations, use of 3D masks, and deepfakes injected directly into the camera. Defensive AI versus fraudulent AI.
Discover in this document how to integrate anti-deepfake technology natively into your processes. Allow your customers to verify their identity quickly, comfortably, simply, and securely, while maintaining the highest level of technical scrutiny. It is no longer necessary to choose between stopping the most sophisticated threats and offering a frictionless user experience.
The biometric engine reads geometric depth and lighting patterns, instantly detecting artifacts generated by AI, high-resolution screens, or non-human textures.
The system cryptographically verifies that the image comes directly from the live camera sensor (real streaming), blocking bypass attempts with manipulated and pre-recorded files.
The platform extracts data from the official identity document and matches it with video validation, automatically aborting the operation if it detects discrepancies or digital manipulations.
Leaders from all industries use Tecalis RegTech technologies and systems. The best of custom development plus SaaS and AI components.
Download the PDF here for free, including a breakdown of threats, the visual protection flow, and the operational benefits to scale your business without risks.