Researchers introduced ABF-Bench, a verifiable benchmark for agentic blockchain forensics that tests AI agents on adversarial, open-ended tracing tasks in which launderers split, swap, and bridge funds and cut trails at mixers or custodial services. The benchmark targets the gap between the immutability of public ledgers and investigators' need to keep adapting their tracing tactics from one incident to the next.
Blockchain forensics is adversarial and open-ended: money launderers split, swap, and bridge funds, cut their trail at mixers or custodial services, and change tactics from one incident to the next. Investigators must keep adapting their tracing in response. Yet the immutability of public ledgers pr
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