About This Course
Advanced techniques for tracing and tracking stolen cryptocurrencies and tokens across multiple blockchains. Learn to use Graphsense and other open-source tools for large-scale cryptoasset analysis.
This course covers transaction graph analysis, clustering heuristics, cross-chain tracing, DeFi protocol investigation, and preparing forensic evidence for legal proceedings. You will work through real-world case studies involving exchange hacks, rug pulls, and ransomware payments.
Designed for law enforcement, compliance teams, and security professionals who need to follow the money on-chain.
This course covers transaction graph analysis, clustering heuristics, cross-chain tracing, DeFi protocol investigation, and preparing forensic evidence for legal proceedings. You will work through real-world case studies involving exchange hacks, rug pulls, and ransomware payments.
Designed for law enforcement, compliance teams, and security professionals who need to follow the money on-chain.
Prerequisites
Familiarity with blockchain concepts (transactions, addresses, wallets). No coding required but helpful.
Schedule
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Oct 20, 202607:00 – 15:00Day 1: Transaction graph analysis & clustering heuristics
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Nov 3, 202607:00 – 15:00Day 2: Cross-chain tracing & DeFi protocol investigation
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Nov 17, 202607:00 – 15:00Day 3: Case studies, forensic evidence preparation & Graphsense workshop
About the Instructor
T
Thomas Niedermayer
Data Scientist with a focus on cryptoasset analytics at Iknaio Cryptoasset Analytics. Develops Graphsense, the leading open-source cryptoasset analytics software. Specializes in automated large-scale tracing.
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