[Webinar] Considerations and Challenges for Blockchain, Cryptocurrency and NFT Investigations

August 17th, 1:00 pm - 2:15 pm ET
EDRM - Electronic Discovery Reference Model

August 17th, 2022
1:00 PM - 2:15 PM ET

With the increasing importance of privacy and security in today’s business world coupled with the advancement and acceptance of transaction technologies ranging from blockchain and cryptocurrencies to non-fungible tokens (NFTs), today’s digital forensics professionals are behind the proverbial power curve if they do not have a basic understanding of these emerging technologies. They are further behind that curve if they do not understand the investigational considerations and challenges of these technologies as they move from aspirational advancements to accepted and practical business tools.

During this expert session led by two of the world’s leading cybersecurity, information governance, and legal discovery digital forensics experts, presentation attendees learned the foundational basics of blockchain, cryptocurrencies, and NFTs, discussed an examination of raw data on blockchain ledgers, research specific addresses and transactions as part of an investigational process, and considered NFTs from an investigational and eDiscovery perspective.

Presenting Experts

John Wilson, ACE, AME, CBE, Chief Information Security Officer and President of Forensics, HaystackID

As Chief Information Security Officer and President of Forensics at HaystackID, John provides consulting and forensic services to help companies address various matters related to electronic discovery and computer forensics including leading forensic investigations, cryptocurrency investigations, and ensuring proper preservation of evidence items and chain of custody.

Rene Novoa, Director of Forensics, HaystackID

As Director of Forensics for HaystackID, Rene Novoa has more than 20 years of technology experience conducting data recovery, digital forensics, eDiscovery, and account management and sales activities.


EDRM - Electronic Discovery Reference Model

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