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The use of AI classifiers for detecting novel CSAM
Known CSAM is identified primarily through hash-based matching—cryptographic and perceptual “digital fingerprints” compared against centralized hash repositories maintained by law‑enforcement, nonprof...
detection systems combine and and report hits with confidence scores, audit logs, and downstream human review workflows — mechanisms vendors say reduce false positives and enable reporting to authorit...
Current and perceptual/hash‑matching tools form complementary lines of defense: hashing reliably identifies previously documented with very low false positives but fails on “new” or synthetically gene...
Investigators combine established forensic collection—disk and mobile imaging, metadata extraction, and —with automated detection (hash matching) and newer to identify who viewed or distributed (CSAM)...