Detection capability
Deepfake Detection
Facial structure, expression, and motion analysed over time against texture and boundary artefacts.
Faceoff functions with a multimodal pipeline analyzing facial structure, expressions, and motion over time, along with texture, boundary, reflection, and lighting cues. It detects deepfakes by capturing rhythm, symmetry, and coherence, surpassing basic pixel methods. This ensures video authenticity, vital for verifying digital content integrity.
This is one of eight signals. The Trust Factor Engine weights it against the other seven, so a single spoofed channel does not carry the verdict. How the weighting works
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See the whole engine
Capabilities are components. The platform page shows how the eight combine into one score.
See it score a real video.
Bring your own footage. We will run it through the Adaptive Cognito Engine and walk you through what each of the eight models saw.