Practical guides to AI-generated media, provenance, watermarks, deepfakes, compression, and the limits of detection.
A reproducible 12-source, 60-file case study of screenshots, resizing, JPEG compression, metadata re-encoding, C2PA credentials and visual model outputs.
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Compare AI image detection, C2PA validation and SynthID verification by evidence type, privacy, access and result limits.
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Check SynthID with Google’s official Gemini workflow. Learn how to record results, compare file versions, and separate watermark evidence from AI detector signals.
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Learn what C2PA Content Credentials record, how signatures and asset bindings are verified, and what valid or missing credentials can—and cannot—prove.
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Learn what a deepfake is, how it differs from broader AI-generated content, the main manipulation types, and how to verify suspected impersonation.
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Learn why AI detectors produce false positives and false negatives, how compression and model mismatch affect results, and how to review a disputed flag.
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Learn how visible and invisible AI watermarks work, what a positive signal can establish, and why a missing watermark does not prove content is real.
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Learn how to detect AI-generated images using source checks, Content Credentials, visual inspection, and detector results—without mistaking clues for proof.
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Learn how to tell if a video is AI-generated with source tracing, frame review, audio checks, and provenance—and understand what detectors cannot prove.
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