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The prioritization of child sexual abuse material (CSAM) investigations by law enforcement agencies, focusing on higher-risk cases over lower-priority ones due to limited resources.
Investigators prioritize which CSAM-related IP addresses to probe by combining automated content-matching and machine learning triage with contextual signals — such as known-hash matches, classifier c...
Investigators do not generally “stop” pursuing small CSAM matters in the sense of formally abandoning them, but they routinely triage and prioritize investigations so that higher‑risk cases—those sugg...