Between input and output: The enigma of being a Spamhaus threat investigator

The piece explains that while machine learning is used in abuse-fighting systems, human investigators are still indispensable: manual, interdisciplinary research provides socio-economic context, uncovers subtle signals and behavioral patterns, and helps track cybercrime organizations and shifts in the threat landscape, so Spamhaus combines automated tools with human-led investigations.