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🤖 AI × Crypto🟢 BullishImportance 7/10

LOCARD: An Agentic Framework for Blockchain Forensics

arXiv – CS AI|Xiaohang Yu, William Knottenbelt|
🤖AI Summary

Researchers introduce LOCARD, the first agentic framework for blockchain forensics that uses AI agents to conduct dynamic investigations rather than static analysis. The framework successfully traced complex cross-chain transactions in a dataset of over 151k real-world forensic records, demonstrating its effectiveness on laundering patterns from the Bybit hack.

Key Takeaways
  • →LOCARD represents a paradigm shift from static blockchain analysis to dynamic, AI-agent-driven forensic investigations.
  • →The framework uses a Tri-Core Cognitive Architecture that separates strategic planning, execution, and validation for forensic rigor.
  • →Thor25 benchmark dataset contains over 151k real-world cross-chain forensic records for testing blockchain investigation tools.
  • →The system successfully traced complex money laundering patterns from the Bybit hack case study.
  • →Both the LOCARD code and Thor25 dataset are publicly available for research and development.
#blockchain-forensics#ai-agents#cross-chain#money-laundering#locard#bybit-hack#forensic-analysis#agentic-framework#blockchain-security
Read Original →via arXiv – CS AI
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