Traditional CSAM datasets capture scale but lack insight into the pathways critical for prevention. This session introduces novel behavioural data offering an unfiltered view of offending. By moving beyond self-reports and arrest statistics, we explore how novel datasets can transform our understanding and proactively inform future prevention efforts.