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Deepfake and media authentication for New York matters

Reviewed on .

Authenticate video, audio and image evidence. Distinguish captured recordings from re-encoded, edited, or AI-generated media, and prepare exhibits for admissibility challenges.

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Chain-of-custody workflow from source identification through preservation, examination, and reporting
Media authentication ladder: container inspection, generational-loss review, and source-device attribution.

Deepfake and manipulated-media claims sit at the intersection of forensic image analysis, container-level metadata review and, increasingly, AI-generation detection. Every exhibit needs both an examination narrative and a preservation record so an opposing expert can reproduce the work.

Common scopes: container and codec analysis, generational-loss and re-encoding review, metadata reconciliation, source-device identification, and testimony preparation for Frye / Daubert challenges. See media authentication and AI expert witness.

For admissibility strategy, read the Frye / Daubert digital-evidence note.

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Confidential intake reviewed by a New York examiner. Reference the deadline, the devices or accounts involved, and how counsel or IT wants to receive the initial call.

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Include deadline and evidence type. Do not paste passwords, health data, payment data, or government identification.

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