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Standards that trigger criminal investigations of AI-flagged content for child sexual abuse material (CSAM) rest on a mix of legal definitions (including statutes that now cover AI‑generated imagery),...
Hash values (cryptographic and perceptual) are the primary tool investigators and platforms use to detect and triage known CSAM quickly; databases such as NCMEC’s and aggregated pools reportedly conta...
Internet service providers (ISPs and platform hosts detect known child sexual abuse material () in transit primarily by converting files into hashes—digital fingerprints—and matching those hashes agai...
The most persuasive proving dominion and control over CSAM are those that link the illicit material to an account or device with corroborating temporal, behavioral, and system-level metadata — specifi...
Prosecutors rely on digital‑forensic artifacts — hashed matches to known CSAM, file metadata (EXIF, timestamps), device activity timelines, and network or app traces — plus AI-assisted triage to show ...