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The use of AI/ML classifiers to detect CSAM, including their limitations and potential for false positives.
Platforms primarily rely on a two-tier technical stack to detect CSAM: hash‑matching (cryptographic and perceptual) to find known content, and to flag novel or altered material; supplementary approach...
Investigators distinguish accidental downloads from intentional possession of child sexual abuse material (CSAM) by combining legal standards with technical forensic evidence and behavioral context: s...
CyberTipline-originated investigations begin with reports about apparent uploads of child sexual abuse material (CSAM) and are routed by NCMEC to law enforcement, but in practice the investigative sco...