Investigate cryptocurrency crime, trace illicit funds, and build AI agents that automate forensic workflows

Cryptocurrency Investigation with Agentic AI teaches blockchain forensics and AI agent development through 10+ real-world major crypto cases and forensic artifacts. Readers learn to trace funds, evaluate evidence, and automate reporting through an engaging storyline featuring CIAA Labs: junior investigator Alice, cybersecurity veteran Bob, and North Korean hacker Kim, whose tactics reveal the adversary’s perspective.

Author Victor Fang, Ph.D., brings more than 15 years of Silicon Valley experience building enterprise cybersecurity and AI solutions, holding more than 20 patents. His career spans FireEye/Mandiant (now part of Google Cloud), Awake Security (acquired by Arista Networks), Pivotal, and EMC. As founder and CEO of AnChain.AI, he develops AI-powered investigation and compliance technology for government agencies and financial institutions. AnChain.AI’s platform has supported cryptocurrency investigations and seizures involving more than $800 million, serving agencies including the SEC, IRS, and FinCEN.

Readers will learn to:

• Trace Bitcoin, Ethereum, stablecoins, and cross-chain flows in investigations involving fraud, ransomware, DeFi exploits, mixers, and suspected money laundering
• Analyze smart contract source code, bytecode, contract execution, and open-source intelligence (OSINT)
• Apply prompt engineering, context engineering, and agent harness engineering to guide reasoning, manage evidence, and control tool execution
• Build Python agents for evidence collection, analysis, and reporting using LLMs, planning, RAG, MCP, and A2A collaboration
• Evaluate agent performance and apply evidence validation, privacy controls, zero-trust security, and human review

Written for cryptocurrency investigators, AML and compliance professionals, cybersecurity practitioners, attorneys, and regulators, Cryptocurrency Investigation with Agentic AI equips readers with practical frameworks for applying agentic AI to blockchain forensics and compliance automation. This book also serves students, developers, researchers, and educators seeking impactful AI projects with real-world data. Readers develop complementary skills in blockchain forensics and practical agentic AI engineering.