Incode unveils Deepsight AI protection to combat deepfakes

Incode Technologies has announced the launch of Deepsight, described as an AI-based defense system designed to detect deepfakes and synthetic identity fraud in real-time identity verification workflows.

The announcement was covered by SecurityBrief, which noted that Deepsight is positioned as a response to the growing use of generative AI tools by fraudsters seeking to defeat biometric verification systems. The system is designed to detect AI-generated faces, voice clones, and synthetic documents across multiple verification modalities.

According to Incode, Deepsight operates as a detection layer that sits within existing identity verification flows rather than replacing them. The system uses a multi-signal approach combining behavioral indicators, device integrity signals, and perception-layer analysis to identify synthetic content.

Incode CEO Ricardo Amper was quoted in SecurityBrief on the rationale for the product: "The challenge is that the same AI capabilities that improve our systems are also being used to attack them. Deepsight is our response to that reality, it’s a system trained on the actual tools and techniques fraudsters are using."

The SecurityBrief article also covered Incode’s broader position in the identity verification market, noting the company’s recognition in the 2025 Gartner Magic Quadrant for Identity Verification as a context for the Deepsight launch.

Read the full coverage on SecurityBrief.