Metadata can be stripped. Drift embeds provenance directly into the bitstream. By binding video frames to a chaotic arithmetic chain, any spliced or AI-generated content creates a detectable mathematical "tear" in the sequence.
This stream represents a secure video feed (e.g., News Broadcast or Security Cam). Each frame inherits the Drift State ($S_t$) of the previous frame. Try to inject a fake frame and watch the Chain Validator detect the anomaly.
How it works: The Deepfake looks visually perfect (😀), but its hidden arithmetic signature is NULL or random. Because it cannot reproduce the proprietary hash $S_{t+1}$ derived from the previous legitimate frame, the Drift Core flags it as a "SEQUENCE BREAK."
Drift treats every video frame as a block in a lightweight blockchain. Frame 100 contains the drift hash of Frame 99. If an editor cuts 5 seconds of footage, the chain breaks, providing mathematical proof of editing.
Generative AI models create pixels, not arithmetic history. A diffusion model cannot guess the internal state of a hardware drift core. Therefore, AI-generated content is fundamentally "Drift Incompatible" and rejected by player software.
Current standards (C2PA) rely on digital signatures which are heavy and checkable only at the file level. Drift adds a fast, streamable layer of integrity that works for live broadcasts and low-latency Real-Time Protocol (RTP).
Unlike QR codes or noisy watermarks that degrade image quality, Drift binds the metadata to the frame timing and header structure. It is invisible to the viewer but obvious to the decoder.